drowsiness detection algorithms

Computational models and classifiers that detect driver drowsiness, fatigue, or sleepiness from signals such as PERCLOS, blink dynamics, eyelid closure, EEG, steering and lane-keeping variability, or heart-rate features, often validated against KSS or microsleep events. Unlike gaze_based_attention_detection (looking direction / attention) and distraction_detection_algorithms (secondary-task engagement), the target state here is fatigue and falling asleep, not where attention is directed.

3373 paper(s) · ranked by relevance to this topic

1. A Multi-Stage, Multi-Feature Machine Learning Approach to Detect Driver Sleepiness in Naturalistic Road Driving Conditions ↗ · 2022 · Bakker, Bram et al. · indexed
2. Drowsiness monitoring based on driver and driving data fusion · 2011 · Daza, Iván García et al. · archived
3. Driver drowsiness estimation using EEG signals with a dynamical encoder–decoder modeling framework · 2022 · Arefnezhad, Sadegh et al. · archived
4. Drowsiness Detection and Alarming System · 2025 · Girijannavar, Laxmi R et al. · archived
5. A hybrid approach for driver drowsiness detection utilizing practical data to improve performance system and applicability ↗ · 2023 · Khanehshenas, Farin et al. · indexed
6. A Survey on State-of-the-Art Drowsiness Detection Techniques · 2019 · Ramzan, Muhammad et al. · archived
7. Analysis of Driver Drowsiness Detection using EEG and EOG · 2018 · K Firke, Omprakash et al. · archived
8. Detecting Driver Fatigue With Eye Blink Behavior · 2024 · Akin, Ali et al. · archived
9. Drowsiness Detection System Based on PERCLOS and Facial Physiological Signal ↗ · 2022 · Chang, Robert Chen-Hao et al. · indexed
10. Driver Drowsiness Detection Based on Face Feature and PERCLOS ↗ · 2018 · Junaedi, Suhandi et al. · indexed
11. Vehicle-Based Drowsy Driver Detection: Current Status and Future Prospects · 1994 · Knipling, Ronald R. et al. · archived
12. Vehicle-Based Drowsy Driver Detection: Current Status And Future Prospects · 1994 · NHTSA · archived
13. Driver Drowsiness Detection Based on Face Feature and Perclos ↗ · 2021 · Gopi, S. et al. · indexed
14. Research On Vehicle-Based Driver Status/Performance Monitoring; Development, Validation, And Refinement Of Algorithms For Detection Of Driver Drowsiness, Final Report · 1994 · NHTSA · archived
15. Driver sleepiness detection with deep neural networks using electrophysiological data ↗ · 2021 · Hultman, Martin et al. · indexed
16. An Evaluation of Emerging Driver Fatigue Detection Measures and Technologies [Final report] · 2009 · Barr, Lawrence et al. · archived
17. A drowsy driver detection system for heavy vehicles ↗ · 2002 · Grace, Richard et al. · indexed
18. Drowsiness Detection Using Ocular Indices from EEG Signal ↗ · 2022 · Tarafder, Sreeza et al. · indexed
19. Driver Sleepiness Classification Based on Physiological Data and Driving Performance From Real Road Driving ↗ · 2019 · Martensson, Henrik et al. · indexed
20. Drowsiness Classification for Internal Driving Situation Awareness on Mobile Platform · 2021 · Nine, Julkar et al. · archived
21. Estimation of Eye Closure Degree Using EEG Sensors and Its Application in Driver Drowsiness Detection ↗ · 2014 · Li, Gang et al. · indexed
22. Driver Fatigue Detection: A Survey ↗ · 2006 · Qiong Wang et al. · indexed
23. Evaluating driving fatigue detection algorithms using eye tracking glasses ↗ · 2015 · Gao, Xiang-Yu et al. · indexed
24. An Investigation to Detect Driver Drowsiness from Eye blink Artifacts Using Deep Learning Models ↗ · 2022 · Egambaram, Ashvaany et al. · indexed
25. The detection of drowsiness using a driver monitoring system ↗ · 2019 · Schwarz, Chris et al. · indexed
26. Driver Drowsiness Classification Based on Eye Blink and Head Movement Features Using the k-NN Algorithm ↗ · 2020 · Dreisig, Mariella et al. · indexed
27. A Multimodal Fusion Fatigue Driving Detection Method Based on Heart Rate and PERCLOS ↗ · 2022 · Du, Guanglong et al. · indexed
28. An Efficient Approach for Driver Drowsiness Detection at Moderate Drowsiness Level Based on Electroencephalography Signal and Vehicle Dynamics Data ↗ · 2022 · Houshmand, Sara et al. · indexed
29. PERCLOS: A Valid Psychophysiological Measure of Alertness As Assessed by Psychomotor Vigilance · 1998 · NHTSA · archived
30. Drowsiness Monitoring By Steering And Lane Data Based Features Under Real Driving Conditions · 2010 · Friedrichs, Fabian · archived
31. Development and Assessment of a Driver Drowsiness Monitoring System · 2012 · NHTSA · archived
32. Controlled inducement and measurement of drowsiness in a driving simulator ↗ · 2010 · De Rosario, H. et al. · indexed
33. Comparison of Multimodal Features for Detecting Driver Drowsiness using different dataset ↗ · 2021 · Priya, V. Vijay et al. · indexed
34. PERCLOS-based technologies for detecting drowsiness: current evidence and future directions ↗ · 2023 · Abe, Takashi · indexed
35. Eyelid-based driver state classification under simulated and real driving conditions ↗ · 2014 · Ebrahim, Parisa et al. · indexed
36. Driver drowsiness evaluation by means of thermal infrared imaging: preliminary results ↗ · 2021 · Cardone, Daniela et al. · indexed
37. Modeling behavioral indicators for driver drowsiness detection: a simulator-based study ↗ · 2026 · Azaddel, Rahele et al. · indexed
38. Trends and Future Prospects of the Drowsiness Detection and Estimation Technology · 2021 · Arakawa, Toshiya · archived
39. Driver Sleepiness Detection System Based on Eye Movements Variables ↗ · 2013 · Jin, Lisheng et al. · indexed
40. Early Detection of Driver Drowsiness Utilizing Machine Learning based on Physiological Signals, Behavioral Measures, and Driving Performance ↗ · 2018 · Gwak, Jongseong et al. · indexed
41. Driving sleepiness detection using electrooculogram analysis and grey wolf optimizer ↗ · 2022 · Jasim, Sarah Saadoon et al. · indexed
42. EEG-based Driver Fatigue Detection with Eye-tracking Guided Weak Supervision · 2026 · Xu, Fenglin et al. · archived
43. Driver Drowsiness Detection System · 2026 · Kushwaha, Abhishek · archived
44. Driver drowsiness detection based on classification of surface electromyography features in a driving simulator ↗ · 2019 · Mahmoodi, Mohammad et al. · indexed
45. An Evaluation of Emerging Driver Fatigue Detection Measures and Technologies [Tech Brief] · 2009 · NHTSA · archived
46. Vision based eye closeness classification for driver’s distraction and drowsiness using PERCLOS and support vector machines ↗ · 2019 · Mohd Zin, Zalhan et al. · indexed
47. Detecting Driver Sleepiness Using Consumer Wearable Devices in Manual and Partial Automated Real-Road Driving · 2022 · Lu, Ke et al. · archived
48. Driver Drowsiness Detection using Percentage Eye Closure Method ↗ · 2020 · Sankaran, K.Sakthidasan et al. · indexed
49. Driver Drowsiness Detection Using Eye Movement Behavior · 2025 · Biradar, Sonali et al. · archived
50. A Hybrid Approach to Detect Driver Drowsiness Utilizing Physiological Signals to Improve System Performance and Wearability · 2017 · Awais, Muhammad et al. · archived
51. Video based detection of driver fatigue ↗ · 2009 · Vural, Esra · indexed
52. Quantifying Drowsy Driving [Traffic Safety Facts Research Note] · 2020 · NHTSA · archived
53. An EEG-Assisted Two-Stage PERCLOS Forecasting Method for Driver Fatigue Early Warning ↗ · 2026 · Jiang, Junye et al. · indexed
54. Real-Time Driver Fatigue Detection for Enhanced Road Safety · 2025 · Sujathakumari B A et al. · archived
55. Realtime Driver Drowsiness Detection Using Machine Learning ↗ · 2022 · Al Redhaei, Aneesa et al. · indexed
56. Sober-Drive: A smartphone-assisted drowsy driving detection system ↗ · 2014 · Lunbo Xu et al. · indexed
57. Classifying Features of Electroencephalography Signal to Detect Driver Drowsiness in the Early Drowsy Stage · 2022 · Houshmand, Sara et al. · archived
58. Detecting Driver Sleepiness From Physiological Indicators Using a CNN-LSTM Self-Attention Model ↗ · 2026 · Jiao, Yingying et al. · indexed
59. Driver drowsiness detection based on non-intrusive metrics considering individual specifics ↗ · 2016 · Wang, Xuesong et al. · indexed
60. RESEARCH ON VEHICLE-BASED DRIVER STATUS/PERFORMANCE MONITORING; DEVELOPMENT, VALIDATION, AND REFINEMENT OF ALGORITHMS FOR DETECTION OF DRIVER DROWSINESS. FINAL REPORT ↗ · 1994 · Wierwille, Walter W. et al. · indexed
61. Heart Rate Variability-Based Driver Drowsiness Detection and Its Validation With EEG · 2018 · Fujiwara, Koichi et al. · archived
62. A Multi-Model Analysis for Driving Fatigue Detection using EEG Signals ↗ · 2022 · Jantan, Sadiah et al. · indexed
63. On-Road Detection of Driver Fatigue and Drowsiness during Medium-Distance Journeys ↗ · 2021 · Salvati, Luca et al. · indexed
64. Assessment of driver drowsiness using electroencephalogram signals based on multiple functional brain networks ↗ · 2018 · Chen, Jichi et al. · indexed
65. Gazing as actual parameter for drowsiness assessment in driving simulators · 2019 · Rumagit, Arthur M. et al. · archived
66. Development of Drowsy Driving Detection System Using EEG · 2026 · Seo, Ssang-Hee · archived
67. Exploiting heart rate variability for driver drowsiness detection using wearable sensors and machine learning · 2025 · AlArnaout, Zakwan et al. · archived
68. Multi-sensor driver monitoring for drowsiness prediction ↗ · 2023 · Schwarz, Chris et al. · indexed
69. Driving State Recognizing Based on Driving Behavior Signals ↗ · 2010 · Hu, Dunli et al. · indexed
70. Driving drowsiness detection using fusion of electroencephalography, electrooculography, and driving quality signals ↗ · 2016 · Mikaeili, Mohammad et al. · indexed
71. Driving Drowsiness Detection with EEG Using a Modified Hierarchical Extreme Learning Machine Algorithm with Particle Swarm Optimization: A Pilot Study ↗ · 2020 · Ma, Yuliang et al. · indexed
72. Driver drowsiness recognition based on computer vision technology ↗ · 2012 · Zhang, Wei et al. · indexed
73. Detection of Driver Fatigue Caused by Sleep Deprivation · 2009 · Yang, Ji Hyun et al. · archived
74. Driver Drowsiness Detection with Commercial EEG Headsets · 2023 · Delrobaei, Mehdi et al. · archived
75. Driving drowsiness detection using spectral signatures of EEG-based neurophysiology · 2023 · Arif, Saad et al. · archived
76. A contextual and temporal algorithm for driver drowsiness detection ↗ · 2018 · McDonald, Anthony D. et al. · indexed
77. Development of Detection System Using EEG and ECG To Determine an Onset of Driver Drowsiness Due to Sleep Deprivation ↗ · 2023 · Yaakop, Muhyi et al. · indexed
78. Efficient eye states detection in real-time for drowsy driving monitoring system ↗ · 2008 · Cui Xu et al. · indexed
79. Driver Drowsiness Detection System ↗ · 2021 · V, Kiranmayee · indexed
80. Driver Drowsiness Detection · 2024 · Zeki Ablahd, Ann et al. · archived
81. EEG based Drowsiness Prediction Using Machine Learning Approach ↗ · 2021 · Priya, V. Vijay et al. · indexed
82. Estimation of drivers' drowsiness level using a Neural Network Based ‘Error Correcting Output Coding’ method ↗ · 2010 · Tsuchida, Ayumi et al. · indexed
83. Advanced Driver Fatigue Research · 2008 · NHTSA · archived
84. Driver Drowsiness Detection Using Wearable Brain Sensing Headband and Three-Level Voting Model ↗ · 2023 · Rezaee, Qazal et al. · indexed
85. Driver Drowsiness Detection with Commercial EEG Headsets · 2022 · Rezaee, Qazal et al. · archived
86. Driving Fatigue Classification Based on Fusion Entropy Analysis Combining EOG and EEG · 2019 · Wang, Hongtao et al. · archived
87. Comprehensive Drowsiness Level Detection Model Combining Multimodal Information ↗ · 2019 · Sunagawa, Mika et al. · indexed
88. Driver Drowsiness Immediately before Crashes – A Comparative Investigation of EEG Pattern Recognition · 2013 · Golz, M et al. · archived
89. EEG and Forehead EOG-Based Driver Fatigue Classification Using Sparse-Deep Belief Networks ↗ · 2021 · Zhang, Jie et al. · indexed
90. A Measure of Strong Driver Fatigue ↗ · 2009 · Sommer, David et al. · indexed
91. Detection of driver drowsiness in driving environment using deep learning methods ↗ · 2018 · Tumen, Vedat et al. · indexed
92. Driver drowsiness detection system · 2026 · Dalvi, Spandan et al. · archived
93. Sensitivity of PERCLOS70 to Drowsiness Level: Effectiveness of PERCLOS70 to Prevent Crashes Caused by Drowsiness ↗ · 2022 · Murata, Atsuo et al. · indexed
94. Non-Intrusive Detection of Drowsy Driving Based on Eye Tracking Data ↗ · 2019 · Zandi, Ali Shahidi et al. · indexed
95. Comprehensive Analysis on Feature Selection, Machine Learning and Deep Learning Algorithms to Detect Driver Drowsiness-An EEG Study ↗ · 2023 · Ferdous, Talukdar Raian et al. · indexed
96. Fusion of EEG and Eye Blink Analysis for Detection of Driver Fatigue ↗ · 2023 · Shahbakhti, Mohammad et al. · indexed
97. Driver Drowsiness Detection Considering Individual Specifics: A Simulator Study ↗ · 2020 · Li, Shiwu et al. · indexed
98. Real-Time Deep Learning-Based Drowsiness Detection: Leveraging Computer-Vision and Eye-Blink Analyses for Enhanced Road Safety ↗ · 2023 · Safarov, Furkat et al. · indexed
99. Research on Driving Fatigue Detection Based on PERCLOS ↗ · 2017 · ZHANG, CUIQING et al. · indexed
100. Train Driver Fatigue Detection Using Eye Feature Vector and Support Vector Machine ↗ · 2022 · Li, Taiguo et al. · indexed
101. Classifying Driving Fatigue Based on Combined Entropy Measure Using EEG Signals · 2016 · Xiong, Yijun et al. · archived
102. Real-Time Detection of Drowsiness Related Lane Departures Using Steering Wheel Angle ↗ · 2012 · McDonald, Anthony D. et al. · indexed
103. Sample-Entropy-Based Method for Real Driving Fatigue Detection with Multichannel Electroencephalogram ↗ · 2021 · Zhang, Tao et al. · indexed
104. Driver drowsiness detection using behavioral measures and machine learning techniques: A review of state-of-art techniques ↗ · 2017 · Ngxande, Mkhuseli et al. · indexed
105. Driver fatigue detection through multiple entropy fusion analysis in an EEG-based system ↗ · 2017 · Min, Jianliang et al. · indexed
106. Driver fatigue monitoring method based on eyes state classification ↗ · 2008 · Yanli Liu et al. · indexed
107. An Effective Driver Fatigue Monitoring System ↗ · 2010 · Zhang, Shanshan et al. · indexed
108. Drowsiness Detection of Driver ↗ · 2022 · Jyothi, B et al. · indexed
109. Driver Drowsiness Estimation Based on Hybrid Feature Extraction and Light weighted Dense Convolutional Network ↗ · 2022 · Sharanabasappa et al. · indexed
110. Drowsiness Detection in Drivers: A Systematic Review of Deep Learning-Based Models · 2025 · Fonseca, Tiago et al. · archived
111. Drowsy Driver Monitor and Warning System ↗ · 2001 · Grace, Richard et al. · indexed
112. A PERCLOS-Based Driver Fatigue Recognition Application for Smart Vehicle Space ↗ · 2010 · Qing, Wu et al. · indexed
113. Driving fingerprinting enhances drowsy driving detection: Tailoring to individual driver characteristics ↗ · 2024 · Sun, Yifan et al. · indexed
114. Driver Fatigue Detection Based on Machine Vision ↗ · 2018 · Jiang, Junye et al. · indexed
115. Driver Drowsiness Detection Using ECG Signals and Machine Learning Models ↗ · 2022 · Mansour Alnasheet, Meshal · indexed
116. Real-Time Driver Fatigue Detection Based on Eye State Recognition ↗ · 2013 · Sun, Chao et al. · indexed
117. Behavioral Indicators of Drowsy Driving: Active Search Mirror Checks · 2022 · Meyer, Jason E. et al. · archived
118. Classification of Drowsiness and Alertness States Using EEG Signals to Enhance Road Safety: A Comparative Analysis of Machine Learning Algorithms and Ensemble Techniques ↗ · 2025 · Sistaninezhad, Masoud et al. · indexed
119. Evaluation of techniques for ocular measurement as an index of fatigue and as the basis for alertness management · 1998 · Dinges, David F. et al. · archived
120. Importance of subject‐dependent classification and imbalanced distributions in driver sleepiness detection in realistic conditions ↗ · 2018 · Silveira, Cláudia Sofia et al. · indexed
121. Drowsy Driver Detection Using Discriminant Analysis ↗ · 1986 · Skipper, Julie H. et al. · indexed
122. Driver drowsiness detection methods using EEG signals: a systematic review ↗ · 2022 · Hussein, Raed Mohammed et al. · indexed
123. Evaluating Drivers’ States in Sleepiness Countermeasures Experiments Using Physiological and Eye Data – Hybrid Logistic and Linear Regression Model ↗ · 2017 · Schmidt, Elisabeth et al. · indexed
124. Driver Alertness Identification And Alarming System Using Haar Cascade Algorithm · 2022 · R. Vadivel et al. · archived
125. HybridFatigue: A Real-time Driver Drowsiness Detection using Hybrid Features and Transfer Learning · 2020 · Abbas, Qaisar · archived
126. Driver Fatigue Detection Method Based on Eye Multi-Feature Fusion ↗ · 2018 · Liu, Qinghua et al. · indexed
127. Biosignals Monitoring for Driver Drowsiness Detection Using Deep Neural Networks ↗ · 2024 · Alguindigue, Jose et al. · indexed
128. Driver Drowsiness Detection Based on Respiratory Signal Analysis ↗ · 2019 · Guede-Fernandez, Federico et al. · indexed
129. Research on Driver KSS Rating Prediction Model Based on EU 2021/1341 DDAW ↗ · 2023 · Li, Bing et al. · indexed
130. A Methodological Review on Prediction of Multi-Stage Hypovigilance Detection Systems Using Multimodal Features · 2021 · Abbas, Qaisar et al. · archived
131. Driver Sleepiness Detection Algorithm Based on Relevance Vector Machine ↗ · 2021 · Wei, Lingxiang et al. · indexed
132. Study to Determine the Effectiveness of Deep Learning Classifiers for ECG Based Driver Fatigue Classification ↗ · 2018 · Bhardwaj, Rahul et al. · indexed
133. Driver State Classification: Identifying High Cognitive Load and Drowsiness Through Driver Performance · 2026 · Ayas, Suzan et al. · archived
134. Preliminary analysis of full-scale driving simulator data for unmasked sleepiness detection ↗ · 2014 · Yang, Ji Hyun et al. · indexed
135. Drivers Drowsiness Detection using Image Processing and I-Ear Techniques ↗ · 2023 · Ananthi, S. et al. · indexed
136. Real-time and Efficient EEG Based Driver Drowsiness Detection System with VANET for Safe Driving · 2023 · Mohammedi, Mohamed et al. · archived
137. EEG-based drowsiness detection for safe driving using chaotic features and statistical tests · 2011 · Mikaili, Mohammad et al. · archived
138. Research on drowsiness detection in UAV operators based on the random decision forest method · 2026 · Wojtowicz, Konrad et al. · archived
139. Driver fatigue monitoring system using video face images & physiological information ↗ · 2012 · Anumas, Sasiporn et al. · indexed
140. Electroencephalogram-Based Multi-Class Driver Fatigue Detection using Power Spectral Density and Lightweight Convolutional Neural Networks · 2025 · Suprihatiningsih, Wiwit et al. · archived
141. PERCLOS Threshold for Drowsiness Detection during Real Driving ↗ · 2012 · Lin, S. T. et al. · indexed
142. Real time and non-intrusive driver fatigue monitoring · 2005 · Zhu, Zhiwei et al. · archived
143. Optimized driver fatigue detection method using multimodal neural networks · 2025 · Cao, Shengli et al. · archived
144. Convergent validity of video-based observer rating of drowsiness, against subjective, behavioral, and physiological measures · 2023 · Uchiyama, Yuji et al. · archived
145. Vehicle control and drowsiness ↗ · 2002 · Kircher, Albert et al. · indexed
146. Drowsy driver detection system using eye blink patterns · 2010 · Danışman, Taner et al. · archived
147. A Real-time Driving Drowsiness Detection Algorithm With Individual Differences Consideration ↗ · 2019 · You, Feng et al. · indexed
148. Driver Sleepiness Detection Using Deep Learning Convolution Neural Network Classifier ↗ · 2019 · Muthukumaran, N. et al. · indexed
149. Automated detection of driver fatigue based on EEG signals using gradient boosting decision tree model ↗ · 2018 · Hu, Jianfeng et al. · indexed
150. DETECTION OF DRIVER SLEEPINESS AND WARNING THE DRIVER IN REAL-TIME USING IMAGE PROCESSING AND MACHINE LEARNING TECHNIQUES ↗ · 2017 · Umut, İlhan et al. · indexed
151. Driver Drowsiness Classification using Machine Learning and Heart Rate Variability ↗ · 2023 · Meneses, Miguel V. P. R. et al. · indexed
152. Prolonged Eyelid Closure Episodes during Sleep Deprivation in Professional Drivers · 2016 · Alvaro, Pasquale K. et al. · archived
153. Automated Detection of Driver Fatigue Based on Entropy and Complexity Measures ↗ · 2014 · Zhang, Chi et al. · indexed
154. Improved drowsiness detection in drivers through optimum pairing of EEG features using an optimal EEG channel comparable to a multichannel EEG system · 2025 · Minhas, Riaz et al. · archived
155. Development of a Monitoring System for Driver Readiness in Prolonged Automated Driving · 2024 · Deb, Shuchisnigdha et al. · archived
156. Driver fatigue detection based on head gesture and PERCLOS ↗ · 2012 · Jian-Feng Xie et al. · indexed
157. Sleep Detection System for Trucks: A Real-Time Multi-Modal Data-Driven AI Framework for Driver Fatigue Monitoring · 2025 · Verma, Paras · archived
158. Eye tracking system to detect driver drowsiness ↗ · 2015 · Nguyen, T. P. et al. · indexed
159. Camera-Based Eye Blink Detection Algorithm for Assessing Driver Drowsiness ↗ · 2019 · Baccour, Mohamed Hedi et al. · indexed
160. Driving Alertness System Using Deep Learning · 2024 · Vaidya, Prof. R. S. · archived
161. Fatigue Driving Detection and Early Warning System based on EEG Signals · 2024 · Wang, Luoluo et al. · archived
162. Modelling and Detection of Driver's Fatigue using Ontology · 2022 · Lambert, Alexandre et al. · archived
163. Spontaneous Driver Fatigue Discernment System Using Artificial Intelligence ↗ · 2022 · Kumar, Rishabh et al. · indexed
164. Sequence Analysis of Monitored Drowsy Driving ↗ · 2023 · Schwarz, Chris et al. · indexed
165. Design and Implementation of a Driver Drowsiness Detection System - A Practical Approach · 2014 · Čolić, Aleksandar et al. · archived
166. Fatigue driving detection technology based on EEG signal · 2024 · Yang, Zhe · archived
167. EEG-Based Driver Fatigue Detection Using FAWT and Multiboosting Approaches · 2022 · Subasi, Abdulhamit et al. · archived
168. Driver Eye State Detection using Minimum Intensity Projection - An Application to Driver Fatigue Alertness ↗ · 2015 · Punitha, A. et al. · indexed
169. Characterizing fatigue-related neural signatures via multi-band EEG features and a three-stage feature optimization strategy for driver fatigue detection ↗ · 2026 · Chen, Jichi et al. · indexed
170. Real-time driver fatigue detection based on face alignment ↗ · 2017 · Tao, Huanhuan et al. · indexed
171. Real Time Driver Fatigue Detection System Based on Multi-Task ConNN ↗ · 2020 · Savas, Burcu Kir et al. · indexed
172. Design and Implementation of a Driver's Eye State Recognition Algorithm Based on PERCLOS ↗ · 2014 · Peng, Yan et al. · indexed
173. ANN based Joint Time and frequency analysis of EEG for detection of driver drowsiness · 2017 · Dabbu, Suman et al. · archived
174. A Comparison of Convolutional Neural Network Models for Driver Fatigue Detection ↗ · 2022 · Nedjar, Imane et al. · indexed
175. Multimodal Features for Detection of Driver Stress and Fatigue: Review · 2020 · Němcová, Andrea et al. · archived
176. Real-time driver fatigue detection based on simplified landmarks of AAM ↗ · 2010 · Hua-Zhi Dong et al. · indexed
177. Driver Drowsiness Detection Using Gray Wolf Optimizer Based on Face and Eye Tracking ↗ · 2022 · Jasim, Sarah S. et al. · indexed
178. Driver Drowsiness Detection System Based on Eye State Analysis · 2024 · C, Pavilaa. · archived
179. EEG-Based Multiple Entropy Analysis for Assessing Driver Fatigue ↗ · 2019 · Hu, Jianfeng et al. · indexed
180. Analysis of Facial and Acoustic Features for Driver Drowsiness Detection ↗ · 2024 · Loni, Deepali Y · indexed
181. Multimodal System to Detect Driver Fatigue Using EEG, Gyroscope, and Image Processing · 2020 · Karuppusamy, Naveen Senniappan et al. · archived
182. Driver Fatigue Detection System Based on Eye Movements ↗ · 2013 · Niu, Qingning et al. · indexed
183. Automatic Driver Fatigue Detection using EEG Microstate Features ↗ · 2024 · Yaddasht, Zahra et al. · indexed
184. Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm · 2010 · Khushaba, R N et al. · archived
185. Development of sleepiness in professional truck drivers: Real‐road testing for driver drowsiness and attention warning (<scp>DDAW</scp>) system evaluation · 2024 · Ahlström, Christer et al. · archived
186. Detecting driver fatigue using heart rate variability: A systematic review · 2022 · Lu, Ke et al. · archived
187. Drowsiness Detection using EEG signals and Machine Learning Algorithms · 2022 · Joshi, Adinath et al. · archived
188. Toward Practical Driver Fatigue Detection Based on EEG Using Forehead Low Channel and Cascaded Deep Forest · 2025 · Min, Jianliang et al. · archived
189. Detecting Driver Drowsiness With Multi-Sensor Data Fusion Combined With Machine Learning · 2021 · Kulhandjian, Hovannes · archived
190. Using Facial Features to Detect Driver’s Drowsiness State ↗ · 2023 · Krity, Kaushiki et al. · indexed
191. A study of classification of the level of sleepiness for the drowsy driving prevention ↗ · 2007 · Byung-Chan Chang et al. · indexed
192. Automated Detection of Driver Fatigue Based on AdaBoost Classifier with EEG Signals ↗ · 2017 · Hu, Jianfeng · indexed
193. Automated Driver Drowsiness Detection from Single-Channel EEG Signals Using Convolutional Neural Networks and Transfer Learning ↗ · 2022 · Ghadami, Ali et al. · indexed
194. Evaluation of driver drowsiness based on respiratory metrics ↗ · 2024 · Khanehshenas, Farin et al. · indexed
195. Driver Drowsiness Detection and Monitoring System using Machine Learning ↗ · 2022 · Chinthalachervu, Rohith et al. · indexed
196. Learning based Driver Drowsiness Detection Model ↗ · 2020 · Singh, Jagendra · indexed
197. Real Time Driver Fatigue Detection Based on SVM Algorithm ↗ · 2018 · Savas, Burcu Kir et al. · indexed
198. An Improved Driver Drowsiness Detection using Haar Cascade Classifier ↗ · 2023 · S. Saranya, S. et al. · indexed
199. Analysis of Alpha and Theta Band to Detect Driver Drowsiness Using Electroencephalogram (EEG) Signals · 2021 · Sivakumar, Pradeep Kumar et al. · archived
200. Driver Drowsiness Detection Based on Joint Monitoring of Yawning, Blinking and Nodding ↗ · 2020 · Ghourabi, Aicha et al. · indexed
201. Diagnostic tools for identifying sleepy drivers in the field. · 2013 · Rizzo, Matthew et al. · archived
202. Real-time Alarm Monitoring System for Detecting Driver Fatigue in Wireless Areas · 2017 · Fu, Rongrong et al. · archived
203. The utility of automated measures of ocular metrics for detecting driver drowsiness during extended wakefulness ↗ · 2016 · Jackson, Melinda L. et al. · indexed
204. Real-Time System for Monitoring Driver Vigilance ↗ · 2006 · Bergasa, L.M. et al. · indexed
205. Automated Performance Evaluation of Multiple Classification Models with Feature Selection for EEG-Based Driver Fatigue Detection ↗ · 2024 · Srivastava, Muskaan et al. · indexed
206. Drowsiness Detection and Alertness Using Eye Motion Monitoring · 2023 · Asghar, Rabia et al. · archived
207. Driver Fatigue Detection System Using Electroencephalography Signals Based on Combined Entropy Features ↗ · 2017 · Mu, Zhendong et al. · indexed
208. An EEG-based perceptual function integration network for application to drowsy driving · 2015 · Chuang, Chun-Hsiang et al. · archived
209. Literature Review on Driver’s Drowsiness and Fatigue Detection ↗ · 2020 · Laouz, Hamed et al. · indexed
210. Detection of Driver Drowsiness to Avoid Accidents and Prevent Alertness · 2025 · Khekale, Lalit · archived
211. Driver Drowsiness Detection Using Deep Learning ↗ · 2023 · Ojha, Dhiren et al. · indexed
212. PERCLOS+:Moving Beyond Single-Metric Drowsiness Monitors ↗ · 2008 · Hanowski, Richard J. et al. · indexed
213. Prediction of drowsiness events in night shift workers during morning driving ↗ · 2017 · Liang, Yulan et al. · indexed
214. SUBJECTIVE AND INDIRECT METHODS TO OBSERVE DRIVER’S DROWSINESS AND ALERTNESS: AN OVERVIEW · 2016 · Khamis, Nor Kamaliana et al. · archived
215. Driver Drowsiness Detection using CNN · 2024 · Bankar, Jaitee · archived
216. Drowsy driver detection using representation learning ↗ · 2014 · Dwivedi, Kartik et al. · indexed
217. Vision-based drowsiness detector for a realistic driving simulator ↗ · 2010 · Garcia, I. et al. · indexed
218. A Deep Learning-Based System for Driver Fatigue Detection ↗ · 2024 · Benmohamed, Abderrahim et al. · indexed
219. Analyzing Driver Drowsiness: From Causes to Effects · 2020 · Soares, Sónia et al. · archived
220. Sleepiness and prediction of driver impairment in simulator studies using a Cox proportional hazard approach ↗ · 2010 · Vadeby, Anna et al. · indexed
221. Examining Driver Sleepiness Detection Based on Visual Actions Using Haar Cascading and CNN ↗ · 2025 · Rawat, Vandana et al. · indexed
222. Detection of a Drowsy state of the Driver on road using wearable sensors: A survey ↗ · 2018 · Mashru, Dishita et al. · indexed
223. Detecting driving drowsiness using EEG, EOG and driving quality signals ↗ · 2015 · Noori, Seyed Mohammad Reza et al. · indexed
224. Real-time EEG-based Driver's Fatigue Detection System using Deep Neural Network ↗ · 2021 · Asghar, Muhammad Adeel et al. · indexed
225. Sensor Applications and Physiological Features in Drivers’ Drowsiness Detection: A Review ↗ · 2018 · Chowdhury, Anuva et al. · indexed
226. Efficient driver drowsiness detection at moderate levels of drowsiness ↗ · 2013 · Forsman, Pia M. et al. · indexed
227. A Mobile Application for Driver's Drowsiness Monitoring based on PERCLOS Estimation ↗ · 2019 · Soares, Gabriel et al. · indexed
228. Detection of Driver Fatigue State using Deep Neural Network ↗ · 2021 · Anwar, Noreen et al. · indexed
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452. Subtractive fuzzy classifier based driver drowsiness levels classification using EEG ↗ · 2013 · Murugappan, M. et al. · indexed
453. Hierarchical HMMs on Eyes for Driver Drowsiness Detection ↗ · 2020 · Gong, Wei et al. · indexed
454. EEG-Based Driver Fatigue Detection Using Spatio-Temporal Fusion Network With Brain Region Partitioning Strategy ↗ · 2024 · Hu, Fo et al. · indexed
455. The Effectiveness of a Drowsiness Detection System in Reducing Drowsy Driving Accidents · 2023 · Barman, Swapnadip · archived
456. Deep Residual Learning-Based Convolutional Variational Autoencoder For Driver Fatigue Classification ↗ · 2022 · Adhikari, Sameera et al. · indexed
457. An Improved Fatigue Detection System Based on Behavioral Characteristics of Driver · 2017 · Gupta, Rajat et al. · archived
458. Real-Time Vision-Based Driver Drowsiness/Fatigue Detection System ↗ · 2010 · Yao, K. P. et al. · indexed
459. How to Prevent Drivers before Their Sleepiness Using Deep Learning-Based Approach ↗ · 2023 · Akrout, Belhassen et al. · indexed
460. VIGNet: A Deep Convolutional Neural Network for EEG-based Driver Vigilance Estimation ↗ · 2020 · Ko, Wonjun et al. · indexed
461. Estimation of Driver Vigilance Status Using Real-Time Facial Expression and Deep Learning ↗ · 2021 · Tamanani, Reza et al. · indexed
462. Approach based on wavelet packet transform and 1D‐RMLBP for drowsiness detection using EEG ↗ · 2020 · Alçin, Ö.F. · indexed
463. Using the Active Appearance Model to detect driver fatigue ↗ · 2007 · Saeed, Isaam et al. · indexed
464. Detection and analysis: driver state with electrocardiogram (ECG) ↗ · 2020 · Murugan, Suganiya et al. · indexed
465. Vehicle-based drowsy driver detection: Current status and future prospects ↗ · 2013 · Knipling, R R et al. · indexed
466. Development of an algorithm for an EEG-based driver fatigue countermeasure ↗ · 2003 · Lal S et al. · indexed
467. A comparative review of driver drowsiness detection systems: Recent advances, applications, challenges, and future directions ↗ · 2026 · Peker, Nur Yasin et al. · indexed
468. System-on-Chip Based Driver Drowsiness Detection and Warning System ↗ · 2022 · Yazici, Berkay et al. · indexed
469. Multivariate Multiscale Entropy: An Approach to Estimating Vigilance of Driver · 2021 · Ahammed, Kawser et al. · archived
470. Driving Fatigue Identification Based on Multiple Non-intrusive Indicators ↗ · 2021 · Huang, Yanwen et al. · indexed
471. Automatic Detection of Driver Fatigue Using Driving Operation Information for Transportation Safety ↗ · 2017 · Li, Zuojin et al. · indexed
472. Driver Fatigue Detection Based on Eye Tracking ↗ · 2008 · Devi, Mandalapu Sarada et al. · indexed
473. Detection and analysis of driver fatigue stages with EEG signals · 2022 · Demir, Ahmet et al. · archived
474. Automation Detection of Driver Fatigue Using Visual Behavior Variables · 2018 · Yonggang, Wang et al. · archived
475. Developing A method to Detect Driver Drowsiness Based on A single EEG Channel and Discriminated Features ↗ · 2024 · Miften, Firas Sabar et al. · indexed
476. Using Image Processing in the Proposed Drowsiness Detection System Design ↗ · 2018 · POURSADEGHIYAN, Mohsen et al. · indexed
477. Fast MicroSleep and Yawning Detections to Assess Driver’s Vigilance Level ↗ · 2011 · Alioua, Nawal et al. · indexed
478. Fatigue driving detection based on facial state recognition ↗ · 2023 · Wu, Yue et al. · indexed
479. Detection of driver drowsiness using wearable devices: A feasibility study of the proximity sensor ↗ · 2017 · Hu, Jwu‐Sheng et al. · indexed
480. Wearable Device-Based System to Monitor a Driver’s Stress, Fatigue, and Drowsiness ↗ · 2018 · Choi, Minho et al. · indexed
481. Driver performance in the moments surrounding a microsleep · 2008 · Boyle, LN et al. · archived
482. Driving Fatigue Detection Based on EEG Signal ↗ · 2015 · Wang, Yuan et al. · indexed
483. EEG-Based Deep Learning Approaches for Driver Fatigue Detection in Neurorehabilitation-Oriented Brain-Computer Interfaces ↗ · 2025 · Ganesan, Shobana et al. · indexed
484. EEG signal classification for drowsiness detection using wavelet transform and support vector machine · 2021 · Br. Pasaribu, Novie Theresia et al. · archived
485. Driver fatigue detection technology in active safety systems ↗ · 2011 · Qiong Wang et al. · indexed
486. A Fatigue Driving Detection Algorithm Based on Facial Multi-Feature Fusion ↗ · 2020 · Li, Kening et al. · indexed
487. Using Image Processing in the Proposed Drowsiness Detection System Design ↗ · 2018 · POURSADEGHIYAN, Mohsen et al. · indexed
488. Driver impairment at night and its relation to physiological sleepiness ↗ · 2008 · Anund, Anna et al. · indexed
489. Subjective sleepiness, simulated driving performance and blink duration: examining individual differences ↗ · 2006 · Ingre, Michael et al. · indexed
490. EEG-Based Driver Drowsiness Estimation Using Self-Paced Learning with Label Diversity ↗ · 2019 · Xu, Yifan et al. · indexed
491. Driver Drowsiness Detection through a Vehicle's Active Probe Action ↗ · 2019 · Yang, Sen et al. · indexed
492. Design of driving fatigue detection system based on hybrid measures using wavelet-packets transform ↗ · 2014 · Wang, Fei et al. · indexed
493. Random Subspace K-NN Based Ensemble Classifier for Driver Fatigue Detection Utilizing Selected EEG Channels · 2021 · Rashid, Mamunur et al. · archived
494. ECG-Based Driving Fatigue Detection Using Heart Rate Variability Analysis with Mutual Information ↗ · 2023 · Halomoan, Junartho et al. · indexed
495. Comparative Analysis of Techniques for Driver Drowsiness Detection ↗ · 2023 · Lavanya, G. et al. · indexed
496. A novel convolutional neural network method for subject-independent driver drowsiness detection based on single-channel data and EEG alpha spindles ↗ · 2021 · Houshmand, Sara et al. · indexed
497. Vehicle driver drowsiness detection method using wearable EEG based on convolution neural network ↗ · 2021 · Zhu, Miankuan et al. · indexed
498. A generative adaptive convolutional neural network with attention mechanism for driver fatigue detection with class-imbalanced and insufficient data ↗ · 2024 · He, Le et al. · indexed
499. Kernelized Fuzzy Rough Sets Based Yawn Detection for Driver Fatigue Monitoring ↗ · 2011 · Du, Yong et al. · indexed
500. Recognition Algorithm of Driving Fatigue Related Problems Based on EEG Signals ↗ · 2018 · Li, Yun · indexed
501. Driver Drowsiness Detection with Commercial EEG Headsets ↗ · 2023 · Rezaee, Qazal et al. · indexed
502. Morphology based Facial Feature Extraction and Facial Expression Recognition for Driver Vigilance ↗ · 2012 · S.ChidanandKumar, K. · indexed
503. EEG-based Safety Driving Performance Estimation and Alertness Using Support Vector Machine · 2015 · Sun, Hongyu et al. · archived
504. Isotropic Self-Supervised Learning for Driver Drowsiness Detection With Attention-Based Multimodal Fusion ↗ · 2023 · Mou, Luntian et al. · indexed
505. A method of driving fatigue detection based on eye location ↗ · 2011 · Li, Liling et al. · indexed
506. Driver Drowsiness Detection using Machine Learning ↗ · 2022 · Nirwan, Himnish · indexed
507. Towards Generalizable Drowsiness Monitoring with Physiological Sensors: A Preliminary Study ↗ · 2025 · Wang, Jiyao et al. · indexed
508. Quantitative Analysis of Eye-Tracking Data Based on Information-Theoretic Tools for Measuring Driver Drowsiness ↗ · 2024 · Zhu, Yueming et al. · indexed
509. Fatigue Driving Detection System Based on Face Feature ↗ · 2019 · Li, Zhao et al. · indexed
510. SE-Driven Dynamic Convolution for Adaptive EEG-Based Driver Fatigue Detection Across Spectral, Spatial, and Temporal Domains ↗ · 2026 · Zhou, Tianle et al. · indexed
511. Driver Safety Development Real Time Driver Drowsiness Detection System Based on Convolutional Neural Network · 2020 · Hashemi, Maryam et al. · archived
512. A Context-Aware EEG Headset System for Early Detection of Driver Drowsiness ↗ · 2015 · Li, Gang et al. · indexed
513. Driver fatigue detection system based on machine vision ↗ · 2008 · Zhibin Zhang et al. · indexed
514. Driver body condition monitoring system based on human-computer interaction · 2024 · Hou, Zhenyang et al. · archived
515. Comparative Analysis of Vehicle-Based and Driver-Based Features for Driver Drowsiness Monitoring by Support Vector Machines ↗ · 2022 · Baccour, Mohamed Hedi et al. · indexed
516. Research on Early Warning of Driver Fatigue Status Based on Image Processing ↗ · 2021 · Liu, Guoliang et al. · indexed
517. Drowsiness estimation from identified driver model ↗ · 2015 · Tokutake, Hiroshi · indexed
518. Driver Drowsiness Detection based on Monitoring of Eye Blink Rate ↗ · 2022 · Baby Shamini, P et al. · indexed
519. Driver Fatigue Detection Through Chaotic Entropy Analysis of Cortical Sources Obtained From Scalp EEG Signals ↗ · 2020 · Chaudhuri, Aritra et al. · indexed
520. Indicators of Sleepiness in an ambulatory EEG study of night driving ↗ · 2006 · Papadelis, Christos et al. · indexed
521. Application of a Heavy Vehicle Drowsy Driver Detection System ↗ · 1999 · Grace, Richard et al. · indexed
522. EEG brain signals to detect the sleep health of a driver: An automated framework system based on deep learning · 2022 · Ettahiri, Halima et al. · archived
523. An embedded intelligence engine for driver drowsiness detection ↗ · 2022 · Vadlamudi, Shirisha et al. · indexed
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525. Driver Drowsiness Monitoring System using Machine Learning ↗ · 2023 · Srivastava, Sanjeevani · indexed
526. Drowsiness and Decision Making During Long Drives: A Driving Simulation Study · 2023 · AAA Foundation for Traffic Safety · archived
527. Challenges of Driver Drowsiness Prediction: The Remaining Steps to Implementation ↗ · 2023 · Perkins, Emma et al. · indexed
528. Dual‐Domain Fusion Graph Convolutional Network for EEG‐Based Driving Fatigue Detection ↗ · 2025 · Xiong, Hui et al. · indexed
529. Driver Monitoring of Automated Vehicles by Classification of Driver Drowsiness using a Deep Convolutional Neural Network Trained by Scalograms of ECG Signals ↗ · 2021 · Arefnezhad, Sadegh et al. · indexed
530. A Review on Driver Face Monitoring Systems for Fatigue and Distraction Detection ↗ · 2014 · Sigari, Mohamad-Hoseyn et al. · indexed
531. Fatigue Driving Detection of EEG Signals by LSTM Deep Neural Network with LPSD and DE ↗ · 2023 · Zhang, Hao et al. · indexed
532. Driver Fatigue Eeg Fuzzy Entropy Feature Analysis Based on Sliding Window · 2017 · Mu, Zhendong · archived
533. Driver Drowsiness Detection Based on Steering Wheel Data Applying Adaptive Neuro-Fuzzy Feature Selection ↗ · 2019 · Arefnezhad, Sadegh et al. · indexed
534. Convolutional Neural Networks (CNN) and Facial Features based Smart Driver Alertness Detection ↗ · 2023 · Kumar, K.V Pavan et al. · indexed
535. Eye-Activity Measures of Fatigue and Napping as a Fatigue Countermeasure: Tech Brief · 1999 · NHTSA · archived
536. Leading Indicators of Drowsiness in Simulated Driving ↗ · 2005 · Kozak, Ksenia et al. · indexed
537. Driver Fatigue Detection Algorithm Research Based on the Characteristics of Eyes ↗ · 2014 · Wang, Qin et al. · indexed
538. A visual based approach for drowsiness detection ↗ · 2013 · Akrout, Belhassen et al. · indexed
539. Classification of driver fatigue in an electroencephalography-based countermeasure system with source separation module ↗ · 2015 · Chai, Rifai et al. · indexed
540. Performance Comparison of Machine Learning and Deep Learning While Classifying Driver’s Cognitive State ↗ · 2018 · Bhardwaj, Rahul et al. · indexed
541. Connected Embedded System for Drowsiness Detection Based on a Reconfigurable Set of Features ↗ · 2026 · Belakhdhar, Ibtissam · indexed
542. Drowsiness Transitions Detection Using a Wearable Device ↗ · 2023 · Antunes, Ana Rita et al. · indexed
543. Computer Vision-based Driver Fatigue Detection Framework with Personalization Threshold and Multi-feature Fusion ↗ · 2023 · Li, Xiaolei et al. · indexed
544. EEG-Based Driving Fatigue Detection Using a Two-Level Learning Hierarchy Radial Basis Function · 2021 · Ren, Ziwu et al. · archived
545. Drivers drowsiness detection in embedded system ↗ · 2007 · Tianyi Hong et al. · indexed
546. Driver fatigue alarm based on eye detection and gaze estimation ↗ · 2007 · Sun, Xinghua et al. · indexed
547. A drowsiness detection using smart sensors during driving and smart message alert system to avoid accidents ↗ · 2022 · Vinoth, T. et al. · indexed
548. A CNN-Based Wearable System for Driver Drowsiness Detection ↗ · 2023 · Li, Yongkai et al. · indexed
549. Driver Fatigue Countermeasure System ↗ · 2023 · Gonuguntla, Ahalya Rani et al. · indexed
550. Driver Drowsiness Detection Using Machine Learning Algorithm ↗ · 2022 · Prasath, N et al. · indexed
551. A Vision-Based System for Monitoring the Loss of Attention in Automotive Drivers · 2013 · Dasgupta, Anirban et al. · archived
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553. Multivariate Multiscale Entropy: An Approach to Estimating Vigilance of Driver · 2023 · Ahammed, Kawser et al. · archived
554. Individualized drowsiness detection during driving by pulse wave analysis with neural network ↗ · 2005 · Hayashi, K. et al. · indexed
555. Multiscale Global Prompt Transformer for EEG-Based Driver Fatigue Recognition ↗ · 2025 · Zhao, Pengbo et al. · indexed
556. Driver Drowsiness Detection using Haar Cascade ↗ · 2022 · Spourgeon, V. Andrew · indexed
557. Portable Drowsiness Detection through Use of a Prefrontal Single-Channel Electroencephalogram ↗ · 2018 · Ogino, Mikito et al. · indexed
558. Sequential Nonlinear Encoding; A Low Dimensional Regression Algorithm with Application to EEG based Driving Fatigue Detection · 2020 · Tabejamaat, Mohsen et al. · archived
559. PMMCT: A Parallel Multimodal CNN-Transformer Model to Detect Slow Eye Movement for Recognizing Driver Sleepiness ↗ · 2025 · Jiao, Yingying et al. · indexed
560. Wristband-Type Driver Vigilance Monitoring System Using Smartwatch ↗ · 2015 · Lee, Boon-Giin et al. · indexed
561. Real-time eyelid open/closed state recognition based on HLAC towards driver drowsiness detection ↗ · 2014 · Ishii, Y. et al. · indexed
562. Driver Mental Fatigue Detection Based on Head Posture Using New Modified reLU-BiLSTM Deep Neural Network ↗ · 2021 · Ansari, Shahzeb et al. · indexed
563. EEG-based System Using Deep Learning and Attention Mechanism for Driver Drowsiness Detection ↗ · 2021 · Zhu, Miankuan et al. · indexed
564. Wearable Sensors for Evaluating Driver Drowsiness and High Stress ↗ · 2019 · Becerra-Sánchez, Enriqueta Patricia et al. · indexed
565. Using long short term memory and convolutional neural networks for driver drowsiness detection ↗ · 2021 · Quddus, Azhar et al. · indexed
566. Effective Estimation of Driver Drowsiness Based on Eye Status Detection and Analysis ↗ · 2014 · Mukherjee, Kingshuk et al. · indexed
567. Real driving environment EEG-based detection of driving fatigue using the wavelet scattering network ↗ · 2023 · Wang, Fuwang et al. · indexed
568. Real-driving-implementable drowsy driving detection method using heart rate variability based on long short-term memory and autoencoder ↗ · 2021 · Iwamoto, Hiroki et al. · indexed
569. In-vehicle Drowsy Driving Detection and Alerting · 2023 · Gaspar, John G et al. · archived
570. Blinks and saccades as indicators of fatigue in sleepiness warnings: looking tired? ↗ · 2008 · Schleicher, Robert et al. · indexed
571. Real Time Driver Drowsiness Detection with Alert Sound Using Image Processing ↗ · 2023 · K. B, Subisha et al. · indexed
572. Machine Learning Techniques in the Detection of Drowsiness in Drivers ↗ · 2021 · Garg, Navin · indexed
573. Drowsiness measures for commercial motor vehicle operations ↗ · 2019 · Sparrow, Amy R. et al. · indexed
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575. Drowsiness Detection of Driver ↗ · 2022 · Vaishnavi Shivdas et al. · indexed
576. Driver Drowsiness Detection Using Convolutional Neural Networks ↗ · 2020 · Kepesiova, Zuzana et al. · indexed
577. Eye-Blink Parameters Detect On-Road Track-Driving Impairment Following Severe Sleep Deprivation ↗ · 2019 · Soleimanloo, Shamsi Shekari et al. · indexed
578. Driver Drowsiness Detection Using Eye-Closeness Detection ↗ · 2016 · Khunpisuth, Oraan et al. · indexed
579. An effective approach for real-time drowsy driving prediction using quantized fisher-Gabor features and latent-dynamic conditional random fields · 2025 · Bakheet, Samy et al. · archived
580. Human and Vehicle-Driver Drowsiness Detection by Facial Expression ↗ · 2013 · Hachisuka, Satori · indexed
581. Prevention of Road Accident by Implementing the Driver Drowsiness Detection and Driver Alert System · 2026 · Raju, S. Razaul Karim et al. · archived
582. Comparison of Lightweight Methods for Vehicle Dynamics-Based Driver Drowsiness Detection ↗ · 2025 · Nakagama, Yutaro et al. · indexed
583. Driver Drowsiness Detection Using Support Vector Machine (SVM) Model from Brain Alpha Wave and GUI Implementation ↗ · 2024 · Christian, Shyaka Alain et al. · indexed
584. A novel real-time driving fatigue detection system based on wireless dry EEG · 2018 · Wang, Hongtao et al. · archived
585. Subjective awareness of sleepiness while driving in younger and older adults · 2023 · Cai, Anna W.T. et al. · archived
586. Real-Time Driver Fatigue Detection Using Automated Eye-State Annotation and Transformerbased Deep Learning Models ↗ · 2026 · A, Hepziba et al. · indexed
587. EEG-Based Cross-Subject Driver Drowsiness Recognition With an Interpretable Convolutional Neural Network · 2023 · Cui, Jian et al. · archived
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591. A Novel Approach for Automatic Detection of Driver Fatigue Using EEG Signals Based on Graph Convolutional Networks · 2024 · Ardabili, Sevda Zafarmandi et al. · archived
592. A Novel Vision Transformer Approach for Driver Fatigue Detection from EEG Signal with Correlation-Based Channel Selection ↗ · 2024 · Khan, Robiul et al. · indexed
593. EEG-Based Spatio–Temporal Convolutional Neural Network for Driver Fatigue Evaluation ↗ · 2019 · Gao, Zhongke et al. · indexed
594. A Driver Fatigue Recognition Model Based on BP Neural Network ↗ · 2011 · Li, Shiwu et al. · indexed
595. Driver drowsiness detection using the in-ear EEG ↗ · 2016 · Hwang, Taeho et al. · indexed
596. Driver fatigue monitoring system using Support Vector Machines ↗ · 2012 · Sacco, Matthew et al. · indexed
597. Reaction of sleepiness indicators to partial sleep deprivation, time of day and time on task in a driving simulator - the DROWSI project ↗ · 2009 · Åkerstedt, Torbjörn et al. · indexed
598. Development of a Physiological Measuring System for the Evaluation of Drowsiness during Driving Vehicle ↗ · 2001 · NISHIO, Yasuyuki et al. · indexed
599. Driver Drowsiness Warning System Using Visual Information for Both Diurnal and Nocturnal Illumination Conditions · 2010 · Flores, MarcoJavier et al. · archived
600. Examining driver sleepiness based on his visual actions with ML Techniques ↗ · 2024 · Rawat, Vandana et al. · indexed
601. Enhancing Driver Safety: Real-Time Eye Detection for Drowsiness Prevention Driver Assistance Systems ↗ · 2023 · Zain, Zainah Md. et al. · indexed
602. Driver Drowsiness Detection System with OpenCV &amp; Keras ↗ · 2021 · Srivastava, Mayank et al. · indexed
603. Estimating driving performance based on EEG spectrum and fuzzy neural network ↗ · 2005 · Ruei-Cheng Wu et al. · indexed
604. Drowsiness Detection for Life-Saving – A Hidden Continuous Monitoring System for use in Road Vehicles ↗ · 2026 · Douzi, Ahmed et al. · indexed
605. Performance Evaluation of Optimized Convolutional Neural Network Approach in Prediction of Fatigue Driver ↗ · 2022 · Chitra, K. et al. · indexed
606. MADFM: Multi-Layer Adaptive Driver Fatigue Monitoring Model Based on Steering Wheel Signals ↗ · 2025 · Zhu, Jinglong et al. · indexed
607. An EEG Channel Selection Framework for Driver Drowsiness Detection via Interpretability Guidance · 2023 · Zhou, Xinliang et al. · archived
608. Real-Time Drowsiness Detection Algorithm for Driver State Monitoring Systems ↗ · 2018 · Baek, Jang Woon et al. · indexed
609. Driver Drowsiness Detection System Using Deep Neural Network ↗ · 2022 · Nalavade, Jagannath E. et al. · indexed
610. Advanced Driver Fatigue Research · 2007 · Eskandarian, Azim et al. · archived
611. Detection of Driver Dynamics with VGG16 Model ↗ · 2022 · Aytekin, Alper et al. · indexed
612. A Hybrid Model Utilizing Principal Component Analysis and Artificial Neural Networks for Driving Drowsiness Detection ↗ · 2022 · Huang, Yanwen et al. · indexed
613. Feature extraction of EEG signals based on functional data analysis and its application to recognition of driver fatigue state ↗ · 2020 · Shangguan, Pengpeng et al. · indexed
614. Driver Drowsiness Detection (SLEEP GUARDIAN) ↗ · 2024 · Pandey, Vishal · indexed
615. A Survey and Tutorial of EEG-Based Brain Monitoring for Driver State Analysis · 2021 · Zhang, Ce et al. · archived
616. A Review of <scp>EEG</scp> ‐Based Driver Fatigue Detection: Nonlinear Dynamics, Brain Networks, and Deep Learning Advances ↗ · 2026 · Chen, Jichi et al. · indexed
617. Research on Deep Learning-based Driver Fatigue Driving Behavior Recognition Methods ↗ · 2024 · Sun, Miao et al. · indexed
618. EEG-based drowsiness estimation for safety driving using independent component analysis · 2005 · Chin-Teng Lin et al. · archived
619. PERFORMANCE OPTIMIZATION OF DRIVER FATIGUE CLASSIFICATION USING HYBRID DBN-DQN ↗ · 2025 · Abdubrani, Rafiuddin et al. · indexed
620. Driving Fatigue Detection Based on Hybrid Electroencephalography and Eye Tracking ↗ · 2024 · Lian, Zequan et al. · indexed
621. Heart rate variability-based detection of driver drowsiness and its validation using EEG ↗ · 2024 · Rajkumar, V. P. et al. · indexed
622. Real-time monitoring of driver drowsiness on mobile platforms using 3D neural networks ↗ · 2019 · Wijnands, Jasper S. et al. · indexed
623. Assessment of the Potential of Wrist-Worn Wearable Sensors for Driver Drowsiness Detection ↗ · 2020 · Kundinger, Thomas et al. · indexed
624. Driver vigilance estimation with Bayesian LSTM Auto-encoder and XGBoost using EEG/EOG data ↗ · 2022 · Zeghlache, Rachid et al. · indexed
625. A WPCA-Based Method for Detecting Fatigue Driving From EEG-Based Internet of Vehicles System · 2019 · Dong, Na et al. · archived
626. Driver Fatigue Monitoring System Using Video Images and Steering Grip Force ↗ · 2016 · Zhao, Jun et al. · indexed
627. EEG Signal Multichannel Frequency-Domain Ratio Indices for Drowsiness Detection Based on Multicriteria Optimization ↗ · 2021 · Stancin, Igor et al. · indexed
628. System for Alertness and Fatigue Estimation Using Deep Recurrent Intelligence for Vehicle Engagement ↗ · 2026 · Jyothsna, Panigrahi et al. · indexed
629. Improving automatic detection of driver fatigue and distraction using machine learning · 2024 · Wu, Dongjiang · archived
630. Wearable driver drowsiness detection using electrooculography signal ↗ · 2016 · Ma, Zheren et al. · indexed
631. Evolvable Block-based Neural Networks for classification of driver drowsiness based on heart rate variability ↗ · 2012 · Nambiar, Vishnu P. et al. · indexed
632. Predictive Analysis of Driver Drowsiness Progression: Multi-Level Drowsiness Classification Using Physiological Signals ↗ · 2024 · Dachoponchai, Natchira et al. · indexed
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634. Driver Drowsiness Detection Using Deep Learning ↗ · 2021 · Pawar, Rupali et al. · indexed
635. A feasability study of drowsiness detection using driving behaviour parameters ↗ · 2012 · Bartra, A. et al. · indexed
636. Wearable Driver Monitoring System ↗ · 2024 · Benusa, Michael et al. · indexed
637. Detection of Driver Drowsiness for Road Safety using Convolutional Neural Network ↗ · 2025 · Roy, Soumyadeep et al. · indexed
638. E-Key: An EEG-Based Biometric Authentication and Driving Fatigue Detection System ↗ · 2023 · Xu, Tao et al. · indexed
639. Drowsiness Detection using EAR (Eye Aspect Ratio) by Machine Learning ↗ · 2024 · Ram, Dr. C. Sunitha et al. · indexed
640. Predict Driver Fatigue Using Facial Features ↗ · 2018 · Berkati, Oussama et al. · indexed
641. Detection of microsleep events in a car driving simulation study using electrocardiographic features ↗ · 2016 · Lenis, Gustavo et al. · indexed
642. IoT-Enabled Driver Drowsiness Detection Using Machine Learning ↗ · 2022 · Guria, Mrinmoy et al. · indexed
643. Preliminary investigation of sleep-related driving fatigue experiment in Indonesia · 2018 · Sanjaya, Kadek Heri et al. · archived
644. Fatigue driving detection based on electrooculography: a review ↗ · 2021 · Tian, Yuanyuan et al. · indexed
645. Driver Drowsiness Detection: A Machine Learning Approach on Skin Conductance ↗ · 2023 · Amidei, Andrea et al. · indexed
646. Driver Fatigue Detection Based on Residual Channel Attention Network and Head Pose Estimation ↗ · 2021 · Ye, Mu et al. · indexed
647. Review of Research on Fatigue Driving Detection Methods ↗ · 2024 · Qin, Yingna et al. · indexed
648. Fatigue Driving Detection Based on Deep Learning and Multi-Index Fusion ↗ · 2021 · Jia, Huijie et al. · indexed
649. Efficient and Robust Driver Fatigue Detection Framework Based on the Visual Analysis of Eye States ↗ · 2023 · Ling, Yancheng et al. · indexed
650. EEG-based driver fatigue detection using hybrid deep generic model · 2016 · San, Phyo Phyo et al. · archived
651. Real Time Driver Fatigue Detection Based on Facial Behaviour along with Machine Learning Approaches ↗ · 2019 · Dey, Sanjay et al. · indexed
652. A Fatigue Driving Detection Algorithm Based on Support Vector Machine ↗ · 2019 · Liang, Zhongmin · indexed
653. Multiplex Limited Penetrable Horizontal Visibility Graph from EEG Signals for Driver Fatigue Detection · 2019 · Cai, Qing et al. · archived
654. A smartphone-based driver fatigue detection using fusion of multiple real-time facial features ↗ · 2016 · Qiao, Yantao et al. · indexed
655. Detection of Operator Drowsiness Using Google Glass ↗ · 2015 · He, Jibo et al. · indexed
656. Understanding Influences of Driving Fatigue on Driver Fingerprinting Identification Through Deep Learning ↗ · 2023 · Sun, Yifan et al. · indexed
657. A new system for detecting fatigue and sleepiness using brain connectivity: EEG based estimation of fatigue, vigilance and sleepiness for drivers ↗ · 2017 · Cynthia, Azzi et al. · indexed
658. Standalone Wearable Driver Drowsiness Detection System in a Smartwatch ↗ · 2016 · Lee, Boon-Leng et al. · indexed
659. Driving Fatigue Classified Analysis Based on ECG Signal ↗ · 2012 · Wu, Qun et al. · indexed
660. EEG Signal Driving Fatigue Detection based on Differential Entropy ↗ · 2024 · Wang, Danyang et al. · indexed
661. Characteristics of fatigued commercial motor vehicle drivers : a preliminary investigation. · 2012 · Khattak, Aemal et al. · archived
662. Enhanced ALIVE Mind Controller and Machine Learning to Detect Drowsiness While Driving ↗ · 2022 · Rezgui, Jihene et al. · indexed
663. DrowsyNet: Multivariate Time Series Classification for Embedded Driver Drowsiness Detection ↗ · 2022 · Zu, Shicheng et al. · indexed
664. P10 - Optimizing the Design of a Multi-Sensor System for On-Line Driver State and Drowsiness Detection ↗ · 2014 · Li, L. et al. · indexed
665. Research on a Real-Time Driver Fatigue Detection Algorithm Based on Facial Video Sequences ↗ · 2022 · Zhu, Tianjun et al. · indexed
666. Multivariate Multiscale Entropy: An Approach to Estimating Vigilance of Driver ↗ · 2020 · Ahammed, Kawser et al. · indexed
667. Drowsiness discrimination in an overnight driving simulation on the basis of RR and QT intervals ↗ · 2017 · Heinze, Christian et al. · indexed
668. Driver Drowsiness Detection Using Subsidiary Task and Driving Performance Measures ↗ · 1986 · Hardee, H. Lenora et al. · indexed
669. Driver Alertness Detection Algorithm ↗ · 2018 · Kulkarni, Warada et al. · indexed
670. Face Positioned Driver Drowsiness Detection Using Multistage Adaptive 3D Convolutional Neural Network ↗ · 2023 · Adhithyaa, N. et al. · indexed
671. Car driver fatigue monitoring using Hidden Markov Models and Bayesian networks ↗ · 2013 · Rashwan, Abdullah M. et al. · indexed
672. Optimal feature‐algorithm combination research for EEG fatigue driving detection based on functional brain network ↗ · 2023 · Zhou, Yi et al. · indexed
673. Real-time Driver Drowsiness Detection Using Artificial Immune System ↗ · 2018 · SoltaniZadeh, H. et al. · indexed
674. Embedded Real Time Blink Detection System for Driver Fatigue Monitoring ↗ · 2015 · Salehian, Soheil et al. · indexed
675. Prediction of the time when a driver reaches critical drowsiness level based on driver monitoring before and while driving ↗ · 2013 · Hayata, Yuto et al. · indexed
676. Modeling Fatigue Level by Driver's Lane-Keeping Indicators ↗ · 2013 · Xu, Chuan et al. · indexed
677. Multiple entropy fusion predicts driver fatigue using forehead EEG ↗ · 2025 · Yang, Renyu et al. · indexed
678. Evaluation of Correlation between Psychomotor Vigilance Task Scores and Drowsiness Estimation Levels Obtained from Facial Videos ↗ · 2023 · Umematsu, Terumi et al. · indexed
679. Driver Drowsiness Monitoring System Using Fusion of Facial Features &amp; EEG ↗ · 2018 · Salimuddin, Misbah Kazi et al. · indexed
680. Research on Method of Fatigued Driving Detection ↗ · 2018 · Zou, Jiancheng et al. · indexed
681. TFAC-Net: A Temporal-Frequential Attentional Convolutional Network for Driver Drowsiness Recognition With Single-Channel EEG ↗ · 2024 · Gong, Peiliang et al. · indexed
682. Driving Fatigue Detecting Based on EEG Signals of Forehead Area ↗ · 2017 · Mu, Zhendong et al. · indexed
683. Driver Assistance System With a Dual Control Scheme: Effectiveness of Identifying Driver Drowsiness and Preventing Lane Departure Accidents · 2016 · Saito, Yuichi et al. · archived
684. Drowsiness estimation under driving environment by heart rate variability and/or breathing rate variability with logistic regression analysis ↗ · 2015 · Igasaki, Tomohiko et al. · indexed
685. Driver fatigue detection through pupil detection and yawing analysis ↗ · 2010 · Weiwei Liu et al. · indexed
686. Systematic Review of Multimodal Fusion Strategies for Driver Fatigue Detection in Autonomous Vehicles · 2025 · Huang, Xiang · archived
687. A Review of Fatigue Driving Detection Based on Electrooculogram ↗ · 2021 · Tian, Yuanyuan et al. · indexed
688. Research on Recognition Method of Driving Fatigue State Based on Sample Entropy and Kernel Principal Component Analysis ↗ · 2018 · Ye, Beige et al. · indexed
689. Non-contact Monitoring of Fatigue Driving Using FMCW Millimeter Wave Radar ↗ · 2023 · Chen, Honghong et al. · indexed
690. Commercial Motor Vehicle Driver Fatigue And Alertness Study: Technical Summary · 1996 · Wylie, CD. et al. · archived
691. Accident Prevention System for Drivers Safety · 2025 · Garje, Avantika · archived
692. Driver-Independent Assessment of Arousal States from Video Sequences Based on the Classification of Eyeblink Patterns ↗ · 2008 · Nopsuwanchai, Roongroj et al. · indexed
693. Using Wearable ECG/PPG Sensors for Driver Drowsiness Detection Based on Distinguishable Pattern of Recurrence Plots ↗ · 2019 · Lee, Hyeonjeong et al. · indexed
694. The System for Driver Fatigue Monitoring Using Decision Tree via Wireless Sensor Network for Intelligent Transport System ↗ · 2018 · Yimyam, Worawut et al. · indexed
695. Automated Detection of Driver Fatigue Using Deep Neural Networks in Vehicles ↗ · 2023 · Kumar, Mr M. Arun et al. · indexed
696. Early Identification and Detection of Driver Drowsiness by Hybrid Machine Learning ↗ · 2021 · Altameem, Ayman et al. · indexed
697. Comparative Study to Detect Driver Drowsiness ↗ · 2021 · Bajaj, Jaspreet Singh et al. · indexed
698. Boosting Transfer Learning Improves Performance of Driving Drowsiness Classification Using EEG ↗ · 2018 · He, Jiancong et al. · indexed
699. An EEG Based Vehicle Driving Safety System Using Automotive CAN Protocol · 2015 · SBCE et al. · archived
700. An Overview of Machine Learning Methods used in Fatigue Driving Detection ↗ · 2022 · Dong, Liuqing et al. · indexed
701. Driver-Drowsiness Detection System Using Deep Learning (CNN) ↗ · 2023 · Ridwan, Firman et al. · indexed
702. A new system for driver drowsiness and distraction detection ↗ · 2012 · Sabet, Mehrdad et al. · indexed
703. Real time driver fatigue surveillance system using machine learning ↗ · 2022 · Sudha, K. et al. · indexed
704. Driver fatigue surveillance via eye detection ↗ · 2014 · Chang, Tang-Hsien et al. · indexed
705. A framework for context-aware driver status assessment systems · 2013 · Craye, Céline · archived
706. EEG-FADE: A generalizable and explainable framework for EEG-based driver fatigue detection ↗ · 2026 · Jegede, Akinbobola et al. · indexed
707. Driver Drowsiness Detection System using Convolutional Neural Network ↗ · 2022 · Elham Walizad, Mohammad et al. · indexed
708. A Complex Network-Based Broad Learning System for Detecting Driver Fatigue From EEG Signals ↗ · 2021 · Yang, Yuxuan et al. · indexed
709. Heavy Truck Driver's Drowsiness Detection Method Using Wearable EEG Based on Convolution Neural Network ↗ · 2020 · Zhu, Miankuan et al. · indexed
710. A Study of the Identification Method of Driving Fatigue Based on Physiological Signals ↗ · 2011 · Xu, Shili et al. · indexed
711. Detecting fatigue in car drivers and aircraft pilots by using non-invasive measures: The value of differentiation of sleepiness and mental fatigue ↗ · 2020 · Hu, Xinyun et al. · indexed
712. Driver Fatigue Detection based on Eye State Analysis ↗ · 2008 · Du, Yong et al. · indexed
713. Real-Time EEG-Based Driver Drowsiness Detection Based on Convolutional Neural Network With Gumbel-Softmax Trick ↗ · 2025 · Feng, Weibin et al. · indexed
714. Real Time Driver Drowsiness Detection System using OpenCV ↗ · 2021 · H, Ritish · indexed
715. Temporal EEG Imaging for Drowsy Driving Prediction · 2019 · Cheng, Eric Juwei et al. · archived
716. Efficient Method of Driver Alertness Using Hybrid Approach of Eye Movements and Bio-signals ↗ · 2014 · Veena, S.L. · indexed
717. Mobile-Based Driver Sleepiness Detection Using Facial Landmarks and Analysis of EAR Values ↗ · 2020 · Huda, Choirul et al. · indexed
718. Driver fatigue detection based on the distance of eyelid ↗ · 2005 · Wenhui Dong et al. · indexed
719. Real-Time Driver Drowsiness Detection using Facial Action Units ↗ · 2021 · Vijay, Malaika et al. · indexed
720. Detection of Drivers’ Moderate Drowsiness Using a Wavelet-Entropy-Based Smart Algorithm ↗ · 2018 · Chen, Xiaohong et al. · indexed
721. Detection of drowsy driving based on driving information ↗ · 2014 · Lee, Jeong-Woo et al. · indexed
722. Software Centric Driver Fatigue Discernment System Using Computer Vision ↗ · 2022 · Agrawal, Meghna et al. · indexed
723. Subspace eyetracking for driver warning ↗ · 2004 · De la Torre, F. et al. · indexed
724. Driver Drowsiness Detection System Using Deep Learning Based on Visual Facial Features ↗ · 2021 · Mahmoud, Mahamad Salah et al. · indexed
725. Drowsy Driving Detection by EEG Analysis Using Wavelet Transform and K-means Clustering ↗ · 2014 · Gurudath, Nikita et al. · indexed
726. Driver Drowsiness Detection ↗ · 2020 · Satish, K. et al. · indexed
727. Research on driver fatigue detection strategy based on human eye state ↗ · 2017 · Chen, Peijiang · indexed
728. Monitoring driver fatigue using a single-channel electroencephalographic device: A validation study by gaze-based, driving performance, and subjective data ↗ · 2017 · Morales, José M. et al. · indexed
729. Optimal EEG Segmentation for Microsleep Detection Based on Machine Learning ↗ · 2022 · Pauli, Martin Patrick et al. · indexed
730. Detecting Driver Drowsiness Using Wireless Wearables ↗ · 2015 · Warwick, Brandy et al. · indexed
731. Driver Alertness Monitoring Using Fusion of Facial Features and Bio-Signals ↗ · 2012 · Lee, Boon-Giin et al. · indexed
732. Evaluation of driver fatigue on two channels of EEG data ↗ · 2012 · Li, Wei et al. · indexed
733. Five-level Drowsiness Estimation Using BlendShape Features Captured by a Smartphone’s Front-facing Camera · 2025 · Suzuki, Shunki et al. · archived
734. Detecting driver fatigue through the use of advanced face monitoring techniques · 2001 · Veeraraghavan, Harini et al. · archived
735. Monitoring Driver Drowsiness and Stress in a Driving Simulator ↗ · 2001 · Rimini-Doering, Maria et al. · indexed
736. Enhanced Real-Time Driver Fatigue Detection Using Hybrid SVM ‎and Multi-Feature Analysis for Improved Accuracy and ‎Road Safety ↗ · 2025 · S, Lakshmi Devi et al. · indexed
737. Driver drowsiness detection: a comparison between intrusive and non-intrusive signal acquisition methods ↗ · 2018 · Oliveira, Licinio et al. · indexed
738. Driver drowsiness estimation using facial wrinkle feature ↗ · 2013 · Nakamura, Taro et al. · indexed
739. Review of approaches to the problem of driver fatigue and drowsiness ↗ · 2015 · Mashko, Alina · indexed
740. EEG-based Driver Fatigue Detection ↗ · 2013 · AlZu'bi, Hamzah S. et al. · indexed
741. Fatigue at the wheel: A non-visual approach to truck driver fatigue detection by multi-feature fusion ↗ · 2024 · He, Chen et al. · indexed
742. Driver Drowsiness Detection Using Matlab ↗ · 2019 · Rajahrajasingh, Hanojhan · indexed
743. Driver Drowsiness Detection Based on Time Series Analysis of Steering Wheel Angular Velocity ↗ · 2017 · Zhenhai, Gao et al. · indexed
744. Integrated Multimodal System for Real-Time Driver Fatigue Detection and Cognitive Load Assessment ↗ · 2025 · Jirjees, Abdullah et al. · indexed
745. Eye detection for a real-time vehicle driver fatigue monitoring system ↗ · 2011 · Coetzer, R.C. et al. · indexed
746. Automatic System for Driver Drowsiness Detection System using Deep Learning ↗ · 2023 · Ch, Sasi Preetham et al. · indexed
747. Contributions to Driver Fatigue Detection Based on Eye-tracking ↗ · 2021 · Băiașu, Ana-Maria et al. · indexed
748. Sensor-based driver condition recognition using support vector machine for the detection of driver drowsiness ↗ · 2017 · Cheon, Seong-Pil et al. · indexed
749. Evaluating Driver Drowsiness Countermeasures · 2017 · Gaspar, John G et al. · archived
750. Research on Multi-Mode Driver Fatigue Detection System ↗ · 2010 · Liu, Zhen Yu et al. · indexed
751. Hypo-Driver: A Multiview Driver Fatigue and Distraction Level Detection System ↗ · 2022 · Riquelme, Fabi醤 et al. · indexed
752. Sistema Automático Para la Detección de Distracción y Somnolencia en Conductores por Medio de Características Visuales Robustas ↗ · 2017 · Villán, Alberto Fernández et al. · indexed
753. Driver Drowsiness Detection using Machine Learning Approach ↗ · 2024 · Murdeshwar, Priyanka Basavaraj et al. · indexed
754. ACCIDENT PREVENTION BY DETECTING A EYE BLINK OF AN DRIVER ↗ · 2022 · Angadi, Karthika Kottur · indexed
755. A Product Fuzzy Convolutional Network for Detecting Driving Fatigue ↗ · 2023 · Du, Guanglong et al. · indexed
756. Alertness Anticipation Innovations in Driver Safety Predictions ↗ · 2023 · S, Priyanka et al. · indexed
757. Constructing Multi-scale Entropy Based on the Empirical Mode Decomposition(EMD) and its Application in Recognizing Driving Fatigue ↗ · 2020 · Zou, Shuli et al. · indexed
758. Driver Sleepiness Assessed by Electroencephalography - Different Methods Applied to One Single Data Set ↗ · 2015 · Golz, Martin et al. · indexed
759. CROSS-SUBJECT EEG-BASED FATIGUE CLASSIFICATION USING MACHINE LEARNING, RIEMANNIAN GEOMETRY, AND COMPACT DEEP NEURAL NETWORKS ↗ · 2026 · Mukushev, Medet et al. · indexed
760. Detecting slow eye movement for recognizing driver's sleep onset period with EEG features ↗ · 2016 · Jiao, Yingying et al. · indexed
761. DRIVER FATIGUE DETECTION USING APPROXIMATE ENTROPIC OF STEERING WHEEL ANGLE FROM REAL DRIVING DATA ↗ · 2017 · Li, Zuojin et al. · indexed
762. Drowsiness Classification in Young Drivers Based on Facial Near-Infrared Images Using a Convolutional Neural Network: A Pilot Study ↗ · 2025 · Nomura, Ayaka et al. · indexed
763. Fatigue Driving Detection Method Based on Multiple Features ↗ · 2022 · Liu, JinFeng · indexed
764. Applying HRV Based Online Clustering Method to Identify Driver Drowsiness ↗ · 2021 · Babaeian, Mohsen et al. · indexed
765. Fatigue driving detection method based on deep learning ↗ · 2023 · lu, peilong et al. · indexed
766. Drowsiness Detection and Alert System Using Wearable Dry Electroencephalography for Safe Driving ↗ · 2021 · ABD GANİ, Shamsul Fakhar · indexed
767. Classification and detection of EEG data for tired driving based on Mamba framework ↗ · 2024 · Xiaohui, Chen et al. · indexed
768. Modern drowsiness detection techniques: a review ↗ · 2022 · Jasim, Sarah Saadoon et al. · indexed
769. Multimodal Driver Drowsiness Detection From Video Frames ↗ · 2022 · Singh, Pritesh Kumar et al. · indexed
770. A systematic review on detection and prediction of driver drowsiness ↗ · 2023 · Ebrahim Shaik, Md. · indexed
771. Early detection of falling asleep at the wheel: A Heart Rate Variability approach ↗ · 2008 · Furman, G. Dorfman et al. · indexed
772. Cross-Subject Driver Fatigue Detection Based on Attention-Guided Multi-Scale Convolutional Neural Networks Using EEG Signals ↗ · 2024 · Wu, Junze et al. · indexed
773. Reliability-based driver drowsiness detection using Dempster-Shafer theory ↗ · 2012 · Li, Xuanpeng et al. · indexed
774. Can Drowsiness be seen in the eyes? A new detection method of driver drowsiness levels based on eye-tracking data ↗ · 2025 · Zhang, Runlin et al. · indexed
775. Capacitance-Based Untethered Fatigue Driving Recognition Under Various Light Conditions ↗ · 2024 · Zeng, Cheng et al. · indexed
776. Driver Drowsiness Detection using Machine Learning with Visual Behaviour ↗ · 2021 · Phulari, Shivanand · indexed
777. Statistical validation of physiological indicators for non-invasive and hybrid driver drowsiness detection system ↗ · 2009 · Zilberg, Eugene et al. · indexed
778. Accident Prevention System for Cars, Buses, Trucks · 2024 · Garje, Avantika · archived
779. Fatigue State Detection of Locomotive Driver Based on Human Posture Features and Double-Stream Long Short-Term Memory Neural Network ↗ · 2022 · Li, Zhaoyi et al. · indexed
780. Driver Drowsiness Detection System Using Yolo v11 ↗ · 2025 · Ruseno, Ndaru et al. · indexed
781. Driving fatigue detection based on fusion of EEG and vehicle motion information ↗ · 2024 · Lan, Zhendong et al. · indexed
782. EEG Spectral Comparison Between Occipital and Prefrontal Cortices for Early Detection of Driver Drowsiness ↗ · 2021 · Arif, Saad et al. · indexed
783. Towards Drowsiness Driving Detection Based on Multi-Feature Fusion and LSTM Networks ↗ · 2020 · Hong, Lin et al. · indexed
784. Prediction of immediately occurring microsleep events from brain electric signals ↗ · 2016 · Golz, Martin et al. · indexed
785. Driving Fatigue Onset and Visual Attention: An Electroencephalography-Driven Analysis of Ocular Behavior in a Driving Simulation Task · 2024 · Giorgi, Andrea et al. · archived
786. Driver Drowsiness Detection Using Machine Learning ↗ · 2023 · Ritesh, Aryan et al. · indexed
787. Neural Network Based Detection of Driver’s Drowsiness ↗ · 2021 · Bhandarkar, Shraddha et al. · indexed
788. The Effect of Partial Sleep Deprivation and Time-on-Task on Young Drivers’ Subjective and Objective Sleepiness ↗ · 2023 · Cellini, Nicola et al. · indexed
789. Driver Drowsiness Detection in Facial Images ↗ · 2018 · Dornaika, F. et al. · indexed
790. Driver Drowsiness Warning Based on Electrocardiosignals Analysis ↗ · 2021 · Mardanov, R. R. et al. · indexed
791. FEER: Non-intrusive facial expression and emotional recognition for driver's vigilance monitoring ↗ · 2015 · Shaykha, Ismail et al. · indexed
792. Strengthening association between driver drowsiness and its physiological predictors by combining EEG with measures of body movement ↗ · 2011 · Pritchett, S. et al. · indexed
793. Exploring the fatigue affecting electroencephalography based functional brain networks during real driving in young males ↗ · 2019 · Chen, Jichi et al. · indexed
794. Real Time Fatigue-Driver Detection from Electroencephalography Using Emotiv EPOC+ ↗ · 2016 · Sarno, Riyanarto et al. · indexed
795. Comparison of Eye and Face Features on Drowsiness Analysis ↗ · 2022 · Kao, I-Hsi et al. · indexed
796. Exploring Neuro-Physiological Correlates of Drivers' Mental Fatigue Caused by Sleep Deprivation Using Simultaneous EEG, ECG, and fNIRS Data · 2016 · Ahn, Sangtae et al. · archived
797. REAL TIME DRIVER ALERTNESS MONITORING USING MACHINE LEARNING · 2026 · B.GNANESHWAR et al. · archived
798. Validation of an EEG-based Neurometric for online monitoring and detection of mental drowsiness while driving ↗ · 2022 · Ronca, Vincenzo et al. · indexed
799. Eyeblink recognition improves fatigue prediction from single-channel forehead EEG in a realistic sustained attention task ↗ · 2020 · Ko, Li-Wei et al. · indexed
800. Real-time Driver Monitoring System Based on Visual Cues ↗ · 2020 · Pondit, Ashish et al. · indexed
801. Driver Fatigue Detection and Alert System using Non-Intrusive Eye and Yawn Detection ↗ · 2018 · Awasekar, Pranali et al. · indexed
802. Driver fatigue Assessment Based on the Feature Fusion and Transfer Learning of EEG and EMG ↗ · 2018 · Qi, Meng-Song et al. · indexed
803. Physiological Signal Monitoring System to Analyze Driver Attentiveness ↗ · 2021 · Dolezalek, Emily et al. · indexed
804. Visual Analysis of Eye State and Head Pose for Driver Alertness Monitoring ↗ · 2013 · Oyini Mbouna, Ralph et al. · indexed
805. An EEG-based method for detecting drowsy driving state ↗ · 2010 · Li, Ming-ai et al. · indexed
806. Computing driver tiredness and fatigue in automobile via eye tracking and body movements ↗ · 2022 · Mohammed Murad, Nada et al. · indexed
807. Computing driver tiredness and fatigue in automobile via eye tracking and body movements ↗ · 2022 · Murad, Nada Mohammed et al. · indexed
808. Fatigue Driving Detection Methods based on Human-computer Interaction ↗ · 2024 · An, Guanzheng · indexed
809. On the Physiological Measures based Driver's Drowsiness Detection ↗ · 2021 · Srivastava, Swati · indexed
810. Detecting driving fatigue with multimodal deep learning ↗ · 2017 · Du, Li-Huan et al. · indexed
811. Evaluating the Effect of Fatigue on Driver’s Performance · 2024 · Jirgl, Miroslav et al. · archived
812. WiFind: Driver Fatigue Detection with Fine-Grained Wi-Fi Signal Features ↗ · 2017 · Peng, Hongjian et al. · indexed
813. Interpretable Driver Fatigue Detection Using SHAP Analysis of Multiple Entropy EEG Features · 2026 · Hu, Jianfeng et al. · archived
814. Smartwatch-Based Driver Vigilance Indicator With Kernel-Fuzzy-C-Means-Wavelet Method ↗ · 2016 · Lee, Boon Giin et al. · indexed
815. A simulator based study to evaluate driver drowsiness using electroencephalogram ↗ · 2014 · Awais, Muhammad et al. · indexed
816. Parallel Diagnosis Model of Fatigue Driving Based on Vehicle Running Status ↗ · 2013 · Zhao, Shuanfeng et al. · indexed
817. Modern Drowsiness Detection in Deep Learning: A review ↗ · 2022 · Jasim, Sarah Saadoon et al. · indexed
818. Soft Computing Techniques for Driver Alertness ↗ · 2022 · Reddy, Penuballi Phani Srikar et al. · indexed
819. Drowsiness Detection and Warning in Manual and Automated Driving ↗ · 2018 · Kundinger, Thomas et al. · indexed
820. A Comparative Study of Classification Models for Predicting Monotonous Driver Drowsiness ↗ · 2021 · Chitra, K. et al. · indexed
821. A mobile driver safety system: Analysis of single-channel EEG on drowsiness detection ↗ · 2014 · Lim, Chee-Keong Alfred et al. · indexed
822. Sleepiness Detection For The Driver Using Single Channel EEG With Artificial Neural Network ↗ · 2019 · Rochmah, Afiatur et al. · indexed
823. Can Low Cost Road Engineering Measures Combat Driver Fatigue? A Driving Simulator Investigation · 2009 · Jamson, A Hamish et al. · archived
824. A study on warning system about drowsy status of driver ↗ · 2017 · Nhan, Dinh Thanh et al. · indexed
825. Real-time driver drowsiness estimation by multi-source information fusion with Dempster–Shafer theory ↗ · 2013 · Li, Xuanpeng et al. · indexed
826. Perception-Free Calibration of Eye Opening and Closing Threshold for Driver Fatigue Monitoring ↗ · 2022 · Ming, Cheng et al. · indexed
827. Detecting Driver Drowsiness with Multi-Sensor Data Fusion Combined with Machine Learning ↗ · 2021 · Kulhandjian, Hovannes · indexed
828. Based on Facial Geometric Features and Hand Motion Characteristics Driver Fatigue Detection ↗ · 2019 · LIU, Mingzhou · indexed
829. Vision-Based Driver Drowsiness Detection: From Deep Learning Models to Real-Time Mobile Deployment · 2026 · Jadhav, Hitesh Jitendra · archived
830. A Semantic Hybrid Temporal Approach for Detecting Driver Mental Fatigue ↗ · 2024 · Ansari, Shahzeb et al. · indexed
831. Behind-the-Ear EEG-Based Wearable Driver Drowsiness Detection System Using Embedded Tiny Neural Networks ↗ · 2023 · Nguyen, Ha-Trung et al. · indexed
832. Survey on Driver Drowsiness Detection System ↗ · 2021 · Walke, Ms. K. G. · indexed
833. Observer Rated Sleepiness and Real Road Driving: An Explorative Study ↗ · 2013 · Anund, Anna et al. · indexed
834. EEG-based fuzzy neural network estimator for driving performance ↗ · 2005 · Ruei-Cheng Wu et al. · indexed
835. Driver Drowsiness Detection using Machine Learning Algorithms ↗ · 2022 · Cheerla, Sreevardhan et al. · indexed
836. CSF-GTNet: A Novel Multi-Dimensional Feature Fusion Network Based on Convnext-GeLU- BiLSTM for EEG-Signals-Enabled Fatigue Driving Detection ↗ · 2024 · Gao, Dongrui et al. · indexed
837. EEG-based Driving Fatigue Detection during Operating the Steering Wheel Data Section ↗ · 2020 · Zou, Bing et al. · indexed
838. Research on fatigue driving pre-warning system based on multi-information fusion ↗ · 2018 · Zhao, Xuyang et al. · indexed
839. Feasibility Study of Drowsy Driving Prediction based on Eye Opening Time ↗ · 2017 · Hatakeyema, Yoshiyuki · indexed
840. Beyond the time-on-task: an EEG-driven approach for effective physiological assessment of mental fatigue in simulated and real driving · 2025 · Giorgi, Andrea et al. · archived
841. Preventing Road Crashes with IoT Monitoring of Driver Fatigue in Real-Time · 2025 · Kashyap, Abhijan S. et al. · archived
842. A Hybrid Driver Fatigue and Distraction Detection Model Using AlexNet Based on Facial Features ↗ · 2022 · Anber, Salma et al. · indexed
843. Designing an advanced early warning system to detect drivers’ distraction and drowsiness – A pilot study ↗ · 2026 · Boujenfa, Sabrina et al. · indexed
844. Validation of Vigilance Decline Capability in A Simulated Test Environment: A Preliminary Step Towards Neuroadaptive Control · 2024 · Mahu, Andra et al. · archived
845. A deep learning framework for non-intrusive driver drowsiness detection ↗ · 2023 · Khandare, Hrishikesh et al. · indexed
846. Real time detection of driver fatigue based on CNN‐LSTM ↗ · 2021 · Liu, Ming‐Zhou et al. · indexed
847. Detecting sleep in drivers during highly automated driving: the potential of physiological parameters ↗ · 2019 · Wörle, Johanna et al. · indexed
848. Evaluation of driver fatigue with EEG signal ↗ · 2013 · Li, Wei et al. · indexed
849. The role of expert evaluation for microsleep detection ↗ · 2015 · Golz, M. et al. · indexed
850. Analysis and Implementation of Deep Convolutional Neural Network Models for Intelligent Driver Drowsiness Detection System ↗ · 2023 · Suresh, Anirudh et al. · indexed
851. Driver Fatigue Detection Method Based on Eye States With Pupil and Iris Segmentation ↗ · 2020 · Zhuang, Qianyang et al. · indexed
852. Data-Driven Detection and Assessment for Urban Railway Transit Driver Fatigue in Real Work Conditions ↗ · 2022 · Jiao, Yubo et al. · indexed
853. System for detecting driver’s drowsiness, fatigue and inattention ↗ · 2021 · Arsic, Aleksa et al. · indexed
854. Analysis of Naturalistic Driving Data to Assess Distraction and Drowsiness in Drivers of Commercial Motor Vehicles [Research Brief] · 2021 · NHTSA · archived
855. Driver Drowsiness Detection Using Skin Color Algorithm and Circular Hough Transform ↗ · 2011 · Devi, Mandalapu Sarada et al. · indexed
856. Harnessing Transfer Learning for Multimodal Driver Drowsiness Detection: CNN-Based Pretrained Models ↗ · 2025 · Ahmad, Khubab et al. · indexed
857. Convolutional Two-Stream Network Using Multi-Facial Feature Fusion for Driver Fatigue Detection ↗ · 2019 · Liu, Weihuang et al. · indexed
858. Driver Fatigue Detection Systems: A Review ↗ · 2018 · Sikander, Gulbadan et al. · indexed
859. An EEG-Based Fatigue Detection and Mitigation System · 2016 · Huang, Kuan-Chih et al. · archived
860. Drowsiness Detection using Computer Vision ↗ · 2023 · Karwayun, Prof. (Dr.) Ragini · indexed
861. Driver Drowsiness Detection Study using Heart Rate Variability analysis in Virtual Reality Environment ↗ · 2018 · Chowdhury, Muhammad E.H. et al. · indexed
862. A New Approach for a Real-Time Non-Invasive Fatigue Assessment System for Automated Driving ↗ · 2018 · Feldhütter, Anna et al. · indexed
863. Driver Monitoring System Using Machine Learning ↗ · 2023 · M. D. Ingle et al. · indexed
864. An Adaptive Fatigue Driving Detection Method Based on BP-SVM ↗ · 2023 · Guo, Haofei et al. · indexed
865. Application of Ensemble Learning in EEG Signal Analysis of Fatigue Driving ↗ · 2021 · Rao, Songhui et al. · indexed
866. Driver fatigue detection method based on facial image analysis ↗ · 2024 · Cichocka, S. et al. · indexed
867. Stationary gaze entropy predicts lane departure events in sleep-deprived drivers · 2018 · Shiferaw, Brook et al. · archived
868. Multi-Task Cascaded Convolutional Neural Networks (MTCNN) based Driver Drowsiness Detection ↗ · 2023 · Suhas, K. Kalyan et al. · indexed
869. A Driving Fatigue Identification Method Based on HMM ↗ · 2020 · Wu, Zengwen et al. · indexed
870. Robust and Efficient Driver Monitoring System Using a Synthesis of Facial Features and Biosignals ↗ · 2015 · Kumar, S.P et al. · indexed
871. The Effects of Driving Situation on Sleepiness Indicators after Sleep Loss: A Driving Simulator Study · 2009 · ANUND, Anna et al. · archived
872. Driver Drowsiness Identification by Means of Passive Techniques for Eye Detection and Tracking ↗ · 2010 · Cristiani, Andrea et al. · indexed
873. Driver blink measurement by the motion picture processing and its application to drowsiness detection ↗ · 2003 · Ito, T. et al. · indexed
874. Emotion-Aware Contextual Modelling for Robust Driver Fatigue Detection ↗ · 2026 · Budzan, Sebastian et al. · indexed
875. EEG-Based Driver Fatigue Detection with Frequency–Spatial Attention and Mamba2 Temporal Modeling ↗ · 2025 · Zhang, Hewei et al. · indexed
876. Multimodal characterization of mental fatigue on professional drivers · 2023 · Giorgi, Andrea et al. · archived
877. Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State ↗ · 2019 · Chirra, Venkata et al. · indexed
878. A neural-network-based system for monitoring driver fatigue ↗ · 2010 · Ribaric, Slobodan et al. · indexed
879. Detecting driver drowsiness and distraction via FFT ↗ · 2011 · Qin, Huabiao et al. · indexed
880. A Driver Fatigue Modeling Method Based on Enhanced EEG-EOG Fusion Network for Human-Machine Co-Driving ↗ · 2024 · Wang, Yinan et al. · indexed
881. Embedded System Performance Analysis for Implementing a Portable Drowsiness Detection System for Drivers ↗ · 2022 · Kim, Minjeong et al. · indexed
882. Hypovigilance detection by calculating and analyzing a spatio-temporal features of the face components based on 3D head orientation ↗ · 2014 · Akrout, Belhassen et al. · indexed
883. The Research on Fatigue Driving Detection Algorithm ↗ · 2013 · Lin, Zhui et al. · indexed
884. Driver Fatigue Detection Using Heart Rate Variability Features from 2-Minute Electrocardiogram Signals While Accounting for Sex Differences ↗ · 2024 · Zeng, Chao et al. · indexed
885. Detection methods for a low-cost accelerometer-based approach for driver drowsiness detection ↗ · 2014 · Lawoyin, Samuel et al. · indexed
886. Driver Drowsiness Detection using Deep Learning Algorithms ↗ · 2022 · Prof Jaya Mane, Prof Shobha Raskar · indexed
887. A Framework for Instantaneous Driver Drowsiness Detection Based on Improved HOG Features and Naïve Bayesian Classification ↗ · 2021 · Bakheet, Samy et al. · indexed
888. Increase in regularity and decrease in variability seen in electroencephalography (EEG) signals from alert to fatigue during a driving simulated task · 2008 · Tran, Y. et al. · archived
889. A Deep Neural Network for Real-Time Driver Drowsiness Detection · 2019 · Toan H., VU et al. · archived
890. Two-Stream Spatial–Temporal Transformer Networks For Driver Drowsiness Detection ↗ · 2023 · Qianyi Jiang, Qianyi Jiang et al. · indexed
891. Bringing a Vehicle to a Controlled Stop: Effectiveness of a Dual-Control Scheme for Identifying Driver Drowsiness and Preventing Lane Departures Under Partial Driving Automation Requiring Hands-on-Wheel · 2022 · Saito, Yuichi et al. · archived
892. Residual Attention Capsule Network for Multimodal EEG- and EOG-Based Driver Vigilance Estimation ↗ · 2023 · Pan, Jiahui et al. · indexed
893. Driver Drowsiness Detection Model System Using E.A.R ↗ · 2022 · Pradhan, Rahul et al. · indexed
894. A Multivariate Weighted Ordinal Pattern Transition Network for Characterizing Driver Fatigue Behavior from EEG Signals ↗ · 2020 · Yang, Yu-Xuan et al. · indexed
895. Wavelet based Analysis of EEG Signal for Detecting various Conditions of Driver ↗ · 2019 · Reddy, K. Viswavardhan et al. · indexed
896. Image-based EEG signal processing for driving fatigue prediction ↗ · 2018 · Cheng, Eric Juwei et al. · indexed
897. Computer Vision-Based Drowsiness Detection Using Handcrafted Feature Extraction for Edge Computing Devices ↗ · 2025 · Owen, Valerius et al. · indexed
898. Implementation of the EAR Method in Detecting Drowsiness in Vehicle Drivers ↗ · 2024 · Suryowinoto, Andy et al. · indexed
899. Online Detection of Driver Fatigue Based on Reaction Time: Designing a Monitoring and Early-Warning System ↗ · 2020 · Guo, Mengzhu et al. · indexed
900. Real-Time Fatigue Analysis of Driver through Iris Recognition · 2017 · K, Gopalakrishna et al. · archived
901. Low-light driver drowsiness detection for real-time safety assistance using dual attention mechanisms in deep learning model. · 2026 · Saxena S et al. · archived
902. Driving Fatigue Detection with Three Prefrontal EEG Channels and Deep Learning Model ↗ · 2023 · Ding, Xiangman et al. · indexed
903. Improved Driver Drowsiness Monitoring System using Real-time Eye Blinking Method ↗ · 2015 · Mohammed, Aree et al. · indexed
904. 3D-CNN Method for Drowsy Driving Detection Based on Driving Pattern Recognition ↗ · 2024 · Lee, Jimin et al. · indexed
905. Variation of the Heartbeat and Activity as an Indicator of Drowsiness at the Wheel Using a Smartwatch ↗ · 2015 · Aguilar, Sergio Rios et al. · indexed
906. The performance of driver sleepiness indicators as a function of interval length ↗ · 2011 · Sandberg, David · indexed
907. ID3RSNet: cross-subject driver drowsiness detection from raw single-channel EEG with an interpretable residual shrinkage network · 2025 · Feng, Xiao et al. · archived
908. Real Time Driver Drowsiness Detecion using Transfer learning ↗ · 2023 · Gupta, Neha et al. · indexed
909. Driver drowsiness monitoring by learning vehicle telemetry data ↗ · 2017 · Vasudevan, Kashyap et al. · indexed
910. A Study on the Correlation Between Driving Behavior and ECG Data in Driving Fatigue. ↗ · 2026 · Wang J et al. · indexed
911. Performance Prediction Model on Driving Train Simulator Based on Alertness and Sleepiness Level Result · 2021 · Ayu Pramiarsih et al. · archived
912. A review on driver drowsiness based on image, bio-signal, and driver behavior ↗ · 2017 · Pratama, Bagus G. et al. · indexed
913. A noninvasive real-time driving fatigue detection technology based on left prefrontal Attention and Meditation EEG ↗ · 2014 · He, Jian et al. · indexed
914. Gaze-based Drowsiness Recognition for Level 3 Automated Driving: Designing Core Features and Temporal Windows ↗ · 2026 · Jang, Eun Hye et al. · indexed
915. Driver Drowsiness Detection and Monitoring System (DDDMS) ↗ · 2022 · Rozali, Raz Amzar Fahimi et al. · indexed
916. Deep Learning Review on Drivers Drowsiness Detection ↗ · 2019 · Ukwuoma, Chiagoziem C. et al. · indexed
917. Driver fatigue detection based on fuzzy fusion ↗ · 2008 · Wenhui Dong et al. · indexed
918. Driver Drowsiness Detection Using EEG and EOG with an Attention-CNN Framework ↗ · 2024 · Qiu, Shuo et al. · indexed
919. Drowsy Driver Detection System For Poor Light Conditions ↗ · 2023 · Ibnouf, Ahmed et al. · indexed
920. Raspberry Pi Based Driver Drowsiness Detection System Using Convolutional Neural Network (CNN) ↗ · 2022 · I, Safie S. et al. · indexed
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923. Detecting Driver Fatigue in Real Time: An OpenCV and Keras Implementation ↗ · 2024 · Indhumathi, P. et al. · indexed
924. Multinomial Logistic Regression Model for Predicting Driver's Drowsiness Using Behavioral Measures ↗ · 2015 · Murata, Atsuo et al. · indexed
925. EEG-Based Driver Fatigue Detection Using P300 Dynamics and Deep Learning in Real-World Bus Operations ↗ · 2026 · Turnip, Arjon et al. · indexed
926. AGL-Net: An Efficient Neural Network for EEG-Based Driver Fatigue Detection ↗ · 2023 · Fang, Weijie et al. · indexed
927. The Importance of Gender Specification for Detection of Driver Fatigue using a Single EEG Channel ↗ · 2022 · Shahbakhti, Mohammad et al. · indexed
928. Drowsiness Using Convolutional Neural Networks for Detection Drivers ↗ · 2024 · Majali, Ali · indexed
929. Data Fusion to Develop a Driver Drowsiness Detection System with Robustness to Signal Loss ↗ · 2014 · Samiee, Sajjad et al. · indexed
930. Calibration-Free Driver Drowsiness Classification based on Manifold-Level Augmentation ↗ · 2023 · Kim, Dong-Young et al. · indexed
931. Driver Drowsiness Detection and Alert System using Python and OpenCV ↗ · 2021 · R, BRINDHA HARINI et al. · indexed
932. Research on Driver Fatigue Detection Method Based on Parallel Convolution Neural Network ↗ · 2019 · Hao, Ziqiang et al. · indexed
933. A smart vision system for early driver drowsiness detection using CNN–transformer hybrid model with attention-based learning ↗ · 2026 · Bouyer, Asgarali et al. · indexed
934. Uppiggande effekter av sömnskattningar: Hur påverkar det GSR och förarövervakning? · 2026 · Ahlström, Christer et al. · archived
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936. In-Depth Inception–Attention Time Model: An Application for Driver Drowsiness Detection ↗ · 2025 · Lee, Minseop et al. · indexed
937. An Attention Deep Learning Framework Based Drowsiness Detection Model for Intelligent Transportation System ↗ · 2022 · Ganguly, Biswarup et al. · indexed
938. Real-Time Driver Drowsiness Detection System using Facial Features ↗ · 2020 · A C, Amaldev · indexed
939. Driver Drowsiness Detection Using Deep Learning ↗ · 2023 · Varshitha, V. Sree et al. · indexed
940. Confidence-driven adaptive time window for real-time driver fatigue detection in Level 2-3 autonomous vehicles: a multi-dataset validation study · 2026 · Xie, Wantong et al. · archived
941. Advanced 1D Temporal Deep Dilated Convolutional Embedded Perceptual System for Fast Car-Driver Drowsiness Monitoring ↗ · 2020 · Rundo, Francesco et al. · indexed
942. Detecting Unfavorable Driving States in Electroencephalography Based on a PCA Sample Entropy Feature and Multiple Classification Algorithms ↗ · 2020 · Zhang, Tao et al. · indexed
943. The impact of driver sleepiness on fixation‐related brain potentials · 2019 · Ahlström, Christer et al. · archived
944. Driver Drowsiness Detection Using Deep Learning * ↗ · 2024 · Singh, Saurabh Kumar et al. · indexed
945. EEG classification of driver mental states by deep learning ↗ · 2018 · Zeng, Hong et al. · indexed
946. Fuzzy Neural Network based Real-Time Driver Fatigue Detection and Warning System using EEG Waves ↗ · 2016 · Devi, B. Aruna et al. · indexed
947. A Multi-Level Alerting Framework for Detecting Driver Drowsiness ↗ · 2026 · Pandimeena, R et al. · indexed
948. A New ECG Data Processing Approach to Developing an Accurate Driving Fatigue Detection Framework with Heart Rate Variability Analysis and Ensemble Learning ↗ · 2023 · Halomoan, Junartho et al. · indexed
949. Driver Drowsiness Detection Using Deep Learning ↗ · 2023 · Jerith, Dr. G. Gifta · indexed
950. Effects of driver behavior style differences and individual differences on driver sleepiness detection ↗ · 2015 · Li, Keyong et al. · indexed
951. Detection and Predictive Analysis of Drowsiness Using Non-contact Doppler Sensor · 2025 · In, Chung Kyo et al. · archived
952. Validity Analysis of Vehicle and Physiological Data for Detecting Driver Drowsiness, Distraction, and Workload ↗ · 2015 · Yang, Ji Hyun et al. · indexed
953. Self-Attentive Channel-Connectivity Capsule Network for EEG-Based Driving Fatigue Detection ↗ · 2023 · Chen, Chuangquan et al. · indexed
954. Driver Drowsiness Detection and Alert System Development Using Object Detection ↗ · 2022 · Wu, Jian-Da et al. · indexed
955. Yawning detection by the analysis of variational descriptor for monitoring driver drowsiness ↗ · 2016 · Akrout, Belhassen et al. · indexed
956. Correlation of Steering Behavior with Heavy-Truck Driver Fatigue ↗ · 1996 · Siegmund, Gunter P. et al. · indexed
957. Fusion of Optimized Indicators from Advanced Driver Assistance Systems (ADAS) for Driver Drowsiness Detection ↗ · 2014 · Daza, Iván et al. · indexed
958. Vision-based method for detecting driver drowsiness and distraction in driver monitoring system ↗ · 2011 · Jo, Jaeik · indexed
959. Drowsiness detection of EEG signals using image-based convolutional neural network · 2023 · Hong, Yunzhe et al. · archived
960. Environmental and Work Factors That Drive Fatigue of Individual Haul Truck Drivers ↗ · 2022 · Talebi, Elaheh et al. · indexed
961. Research on Fatigue Driving Discrimination based on Face Recognition System ↗ · 2022 · Xin, Song et al. · indexed
962. Real-Time Eye Locating and Tracking for Driver Fatigue Detection ↗ · 2010 · Li, Ya Li et al. · indexed
963. Face salient points and eyes tracking for robust drowsiness detection ↗ · 2011 · Jimenez-Pinto, J. et al. · indexed
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965. Real-Time Driver Drowsiness Detection Using CNN, MediaPipe, and ML Classifiers ↗ · 2025 · Joshi, Puskar et al. · indexed
966. Inter-individual variability of EEG features during microsleep events ↗ · 2019 · Golz, Martin et al. · indexed
967. Driver Fatigue State Detection Based on Facial Key Points ↗ · 2019 · Zhang, Nana et al. · indexed
968. Robust driver fatigue recognition using image processing ↗ · 2014 · Ahmed, Rafi et al. · indexed
969. Vector Phase Analysis Approach for Sleep Stage Classification: A Functional Near-Infrared Spectroscopy-Based Passive Brain–Computer Interface ↗ · 2021 · Arif, Saad et al. · indexed
970. Electrooculogram analysis and development of a system for defining stages of drowsiness ↗ · 2004 · Thorslund, Birgitta · indexed
971. A Multi-Modality Attention Network for Driver Fatigue Detection Based on Frontal EEG, EDA and PPG Signals ↗ · 2025 · Guo, Yuanru et al. · indexed
972. Driver Drowsiness Detection Using Open CV and DLIB ↗ · 2023 · R, Dinesh Kumar et al. · indexed
973. Real-time image-based driver fatigue detection and monitoring system for monitoring driver vigilance ↗ · 2016 · Tang, Xinxing et al. · indexed
974. Driver fatigue monitoring method based on multi-information fusion ↗ · 2010 · He, Han et al. · indexed
975. Image-Based Fatigue Detection of Vehicle Driver: State-of-the-Art and Reference Model ↗ · 2021 · Bulygin, Alexandr et al. · indexed
976. Examining signs of driver sleepiness, usage of sleepiness countermeasures and the associations with sleepy driving behaviours and individual factors · 2015 · Watling, Christopher N. et al. · archived
977. EEG-based fatigue driving detection using correlation dimension · 2014 · Wang, Jing et al. · archived
978. Adaptive Driver Vigilance Surveillance System · 2025 · Bodhale, U.N. et al. · archived
979. Driving Fatigue Detection with Three Non-Hair-Bearing EEG Channels and Modified Transformer Model ↗ · 2022 · Wang, Jie et al. · indexed
980. Hypovigilance Detection Based on Eyelids Behavior Study ↗ · 2013 · Akrout, Belhassen et al. · indexed
981. Real-Time Drowsiness Detection System for Driver Monitoring ↗ · 2020 · Arunasalam, M et al. · indexed
982. Automation Control System against Driver Falling Asleep in Traffic ↗ · 2018 · Dymov, Ilya S. et al. · indexed
983. CNN Based Driver Drowsiness Detection System Using Emotion Analysis ↗ · 2022 · Varun Chand, H. et al. · indexed
984. EEG-based drowsiness analysis using OpenBCI and deep learning approaches to establish driving safety ↗ · 2023 · Priyanka, S. et al. · indexed
985. Random Forest Algorithm-based Multi-Feature Vector Optimization for Fatigue Driving Vigilance Monitoring ↗ · 2020 · Guo, Fengjuan et al. · indexed
986. Driving simulator experiments to study drowsiness: A systematic review ↗ · 2020 · Soares, Sónia et al. · indexed
987. Assessing Drivers’ Fatigue State Under Real Traffic Conditions Using EEG Alpha Spindles · 2011 · Schrauf, Michael et al. · archived
988. A Morphological Method for Driver Fatigue Monitoring ↗ · 2024 · Wu, Wen-Yen · indexed
989. Facial recognition system for driver vigilance mlonitoring ↗ · 2005 · Dikkers, H.J. et al. · indexed
990. Evaluating Deep Learning Architectures for EEG-Based Driver Fatigue Detection: A Comparative Analysis ↗ · 2025 · Refat, Kawsar Ahmed et al. · indexed
991. A lightweight method for fatigue driving detection based on facial analysis ↗ · 2024 · Jiang, Haokun et al. · indexed
992. Driving Fatigue Detection Based on Tiny Frequency-Temporal Network from EEG Signals ↗ · 2023 · Wang, Kejie et al. · indexed
993. Drowsy Driver Detection Using Two Stage Convolutional Neural Networks ↗ · 2020 · Biju, Aishwarya et al. · indexed
994. Prediction of fatigue-related driver performance from EEG data by deep Riemannian model ↗ · 2017 · Hajinoroozi, Mehdi et al. · indexed
995. Microcontroller based driver alertness detection systems to detect drowsiness ↗ · 2018 · Pg Hj Zahari, Ak Muhammad Rahimi et al. · indexed
996. A Fast Method for Monitoring Driver Fatigue Using Monocular Camera ↗ · 2008 · Ma, Hongbiao et al. · indexed
997. Using driver's head movements evolution as a drowsiness indicator ↗ · 2004 · Popieul, Jean‐Christophe et al. · indexed
998. Comprehnsive Measurement and Evidential Evaluation of Driver Drowsiness and Alertness Warning System ↗ · 2026 · Balasubrahmanyan, Chappagadda et al. · indexed
999. An Image Processing Approach to Enhance Driver Distraction and Drowsiness Detection Algorithm ↗ · 2024 · Paul, Aishik et al. · indexed
1000. Real-time Driver Drowsiness Detection for Android Application Using Deep Neural Networks Techniques ↗ · 2018 · Jabbar, Rateb et al. · indexed
1001. Eye blink detection using CNN to detect drowsiness level in drivers for road safety ↗ · 2021 · Vishesh, Pothuraju et al. · indexed
1002. Monitoring Driver’s Vigilance Level Using Real-Time Facial Expression and Deep Learning Techniques ↗ · 2020 · Al-Dweik, Arafat et al. · indexed
1003. Driving Fatigue Behavior Analysis Based on BP Neural Network ↗ · 2020 · Wang, Yanling · indexed
1004. Drowsy Driver Assistant System ↗ · 2007 · ElSabrouty, M. et al. · indexed
1005. Sleepiness Estimation Method of Driver Considering Stay-Awake Effort ↗ · 2019 · Mizusako, Motoki et al. · indexed
1006. Nonintrusive Driver Fatigue Detection ↗ · 2008 · Fan, Xiao et al. · indexed
1007. Optimized driver safety through driver fatigue detection methods ↗ · 2017 · Wathiq, Omar et al. · indexed
1008. Driver Drowsiness Estimation From EEG Signals Using Online Weighted Adaptation Regularization for Regression (OwARR) · 2017 · Wu, Dongrui et al. · archived
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1010. Driver Drowsiness Detection Using CNN and LSTM ↗ · 2025 · Reddy, B. Karthikender et al. · indexed
1011. SUBJECTIVE AND INDIRECT METHODS TO OBSERVE DRIVER’S DROWSINESS AND ALERTNESS: AN OVERVIEW ↗ · 2016 · K., NOR KAMALIANA et al. · indexed
1012. Detecting Driver Drowsiness Based on Sensors: A Review ↗ · 2012 · Sahayadhas, Arun et al. · indexed
1013. Real-time Driver Monitoring System with Facial Landmark-based Eye Closure Detection and Head Pose Recognition · 2023 · Kim, Dohun et al. · archived
1014. Driver Drowsiness Detection Using Condition-Adaptive Representation Learning Framework ↗ · 2018 · Yu, Jongmin et al. · indexed
1015. Noise Robustness Analysis of Performance for EEG-Based Driver Fatigue Detection Using Different Entropy Feature Sets ↗ · 2017 · Hu, Jianfeng et al. · indexed
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1017. A Cross-Subject Band-Power Complexity Metric for Detecting Mental Fatigue Through EEG ↗ · 2026 · Li, Ang et al. · indexed
1018. Spectral Analysis of EEG During Microsleep Events Annotated via Driver Monitoring System to Characterize Drowsiness ↗ · 2020 · Wang, Chunwu et al. · indexed
1019. Fatigue driving monitoring system based on the EEG · 2020 · Zhu, Yuxuan et al. · archived
1020. Towards a Reliable Ground Truth for Drowsiness: A Complexity Analysis on the Example of Driver Fatigue ↗ · 2020 · Kundinger, Thomas et al. · indexed
1021. Temporal Separation and Self-Rating of Alertness as Indicators of Driver Fatigue in Commercial Motor Vehicle Operators ↗ · 2004 · Belz, Steven M. et al. · indexed
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1025. Online Detection of Driver Fatigue Using Steering Wheel Angles for Real Driving Conditions ↗ · 2017 · Li, Zuojin et al. · indexed
1026. Driver-vehicle interfacial dynamics: a robust cue for driver fatigue ↗ · 2011 · Haque, M.A. et al. · indexed
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1028. Driver Fatigue Detection Algorithm Based on Video Image ↗ · 2022 · Li, Zhe et al. · indexed
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1031. Facial and bio-signal fusion based driver alertness system using Dynamic Bayesian Network ↗ · 2014 · Sasikumar, S. et al. · indexed
1032. Analysis of Driver Drowsiness Detection System by using Soft Computing ↗ · 2017 · Bhagat, Sapna et al. · indexed
1033. An EEG Predictor of Driving Fatigue ↗ · 2009 · Xie, Xiaoli et al. · indexed
1034. Head pose and gaze direction tracking for detecting a drowsy driver ↗ · 2014 · In-Ho Choi et al. · indexed
1035. Driver Drowsiness EEG Detection Based on Tree Federated Learning and Interpretable Network ↗ · 2023 · Qin, Xue et al. · indexed
1036. Design and Development of EEG Signal based Driver Activity Recognition and Monitoring System ↗ · 2023 · R, Ramachandran. et al. · indexed
1037. Gaussian Weighted Eye State Determination for Driving Fatigue Detection ↗ · 2023 · Xiang, Yunjie et al. · indexed
1038. On-demand driver vigilance enhancement without explicit drowsiness detection—Further analysis of the pilot study results ↗ · 2017 · Van Auken, R. Michael et al. · indexed
1039. A New Method to Detect Driver Fatigue Based on EMG and ECG Collected by Portable Non-Contact Sensors ↗ · 2017 · Wang, Lin et al. · indexed
1040. Drowsiness assessment using electroencephalogram in driving simulator environment ↗ · 2015 · Akbar, Izzat Aulia et al. · indexed
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1043. The contactless active optical sensor for vehicle driver fatigue detection ↗ · 2013 · Murawski, K. et al. · indexed
1044. Detecting Driver Drowsiness Using Hybrid Facial Features and Ensemble Learning ↗ · 2025 · Xu, Changbiao et al. · indexed
1045. Recognition of Fatigue Driving Based on Frequency Features of Wearable Device Data ↗ · 2019 · Wen et al. · indexed
1046. EEG-Based Cross-Dataset Driver Drowsiness Recognition With an Entropy Optimization Network ↗ · 2025 · Yuan, Liqiang et al. · indexed
1047. TMU-Net: A Transformer-Based Multimodal Framework with Uncertainty Quantification for Driver Fatigue Detection ↗ · 2025 · Zhang, Yaxin et al. · indexed
1048. Adaptive Driver Face Feature Fatigue Detection Algorithm Research ↗ · 2023 · Zheng, Han et al. · indexed
1049. Fatigue driving detection with modified ada-boost and fuzzy algorithm ↗ · 2018 · Yong, Zhang et al. · indexed
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1051. Adapting artificial neural networks to a specific driver enhances detection and prediction of drowsiness ↗ · 2018 · Jacobé de Naurois, Charlotte et al. · indexed
1052. Automatic removal of ocular artifacts in EEG signals for driver’s drowsiness detection: A survey ↗ · 2018 · Mohammedi, Mohamed et al. · indexed
1053. Analysis of Feature Fatigue EEG Signals Based on Wavelet Entropy ↗ · 2018 · Wang, Qingjun et al. · indexed
1054. Driver's drowsiness detection using an enhanced image processing technique inspired by the human visual system ↗ · 2016 · Kholerdi, Hedyeh A. et al. · indexed
1055. Heart Rate Variability-Based Driver Drowsiness Detection Using Recurrent Neural Networks ↗ · 2025 · Rabbi, Riadul Islam et al. · indexed
1056. Drowsiness Detection System Using Deep Learning ↗ · 2024 · T, Sudha et al. · indexed
1057. Driver Drowsiness Detection Based On ResNet-18 And Transfer Learning ↗ · 2021 · Ma, Shuailei et al. · indexed
1058. Driver Drowsiness Detection Using Convolutional Neural Networks ↗ · 2021 · Pasha, Md Gouse · indexed
1059. Driving Drowsiness Detection and Proactive Safety Using Deep Learning LSTM multimodal of Vision and Vehicle Signals ↗ · 2025 · Sanikal, Vijayachandar · indexed
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1061. Driver Drowsiness Detection System using Machine Learning ↗ · 2021 · M, Charan · indexed
1062. A Real-Time Embedded System for Driver Drowsiness Detection Based on Visual Analysis of the Eyes and Mouth Using Convolutional Neural Network and Mouth Aspect Ratio ↗ · 2024 · Florez, Ruben et al. · indexed
1063. An Improved Real Time Driver Drowsiness Detection System ↗ · 2021 · Chaudhary, Alka et al. · indexed
1064. Driver Fatigue Detection Control System ↗ · 2018 · Dachuan, Fan et al. · indexed
1065. Driver Drowsiness Detection ↗ · 2022 · Sakshi Bhoir et al. · indexed
1066. A Remote Fatigue Driving Detection System for Ship Supervision based on Physiological Response Features ↗ · 2023 · Tong, Jinming et al. · indexed
1067. Development of Game-Like System Using Active Behavior Input for Wakefulness-Keeping Support in Driving · 2020 · Ibe, Tatsuro et al. · archived
1068. Detecting Driver Drowsiness Using Sensors ↗ · 2023 · Susheela, Kalva et al. · indexed
1069. Drowsiness detection system design based on individual driver ↗ · 2019 · Pasaribu, Novie Theresia Br. et al. · indexed
1070. Driver Drowsiness Detection and Warning using Facial Features and Hand Gestures ↗ · 2023 · Agarkar, Arpit S et al. · indexed
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1072. Deep Learning Driven Driver Fatigue Detection Using CNN and Temporal Eye Dynamics ↗ · 2026 · K S, Nagashree · indexed
1073. Smart Vehicle Connectivity for Safety Applications - Drowsiness Detection and System Alert ↗ · 2021 · P Fernandes, Orion et al. · indexed
1074. DRIVER DROWSINESS DETECTION USING PYTHON ↗ · 2021 · Rajput, Bhumika · indexed
1075. Driver drowsiness and behavior detection in prolonged conditionally automated drives ↗ · 2016 · Schmidt, Jurgen et al. · indexed
1076. Development of Drowsiness Detection Method by Integrating Heart Rate Variability Analysis and Multivariate Statistical Process Control ↗ · 2016 · Abe, Erika et al. · indexed
1077. The utility of the AusEd driving simulator in the clinical assessment of driver fatigue · 2007 · Desai, Anup V. et al. · archived
1078. Toward Wearable EEG-based Alertness Detection System Using SVM with Optimal Minimum Channels · 2018 · Yang, Mihong et al. · archived
1079. Brain Dynamics in Predicting Driving Fatigue Using a Recurrent Self-Evolving Fuzzy Neural Network · 2015 · Liu, Yuting et al. · archived
1080. Real-time intelligent alarm system of driver fatigue based on video sequences ↗ · 2013 · Rezaee, K. et al. · indexed
1081. The driver vigilance telemetric control system (DVTCS): Investigating sensitivity to experimentally induced sleep loss and fatigue ↗ · 2008 · Dorrian, Jillian et al. · indexed
1082. Smart IoT-driven biosensors for EEG-based driving fatigue detection: A CNN-XGBoost model enhancing healthcare quality · 2024 · Rezaee, Khosro et al. · archived
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1085. Driver Vigilance State Estimation Based on Multisource Data ↗ · 2023 · Guo, Zizheng et al. · indexed
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1090. Fatigue Driving Detection Based on Facial Features ↗ · 2023 · Lou, Li et al. · indexed
1091. Driver Drowsiness Detection Using OpenCV and Raspberry Pi ↗ · 2022 · D.C, Pooja · indexed
1092. Smart Edge-Based Driver Drowsiness Detection in Mobile Crowdsourcing ↗ · 2023 · Lamaazi, Hanane et al. · indexed
1093. EEG-Based Driving Fatigue Recognition Using Hybrid Deep Transfer Learning Approach ↗ · 2022 · Rezaee, Khosro et al. · indexed
1094. It’s Out of Our Hands Now! Effects of Non-Driving Related Tasks During Highly Automated Driving on Drivers’ Fatigue ↗ · 2017 · Jarosch, Oliver et al. · indexed
1095. EEG Features for Driver’s Mental Fatigue Detection: A Preliminary Work · 2023 · Kamaruzzaman, Muhammad ‘Afiq Ammar et al. · archived
1096. Regression analysis of EEG signals in fatigue driving based on ensemble learning ↗ · 2021 · Dong, Na et al. · indexed
1097. Real-Time Eye State Detection System for Driver Drowsiness Using Convolutional Neural Network ↗ · 2020 · Kongcharoen, Wissarut et al. · indexed
1098. Sensing Technologies and Physiological Parameters for Real-Time Driver Drowsiness Detection: A Comprehensive Review. ↗ · 2026 · El Sahmarany, L et al. · indexed
1099. Driving Fatigue Detection from EEG Using a Modified PCANet Method ↗ · 2019 · Ma, Yuliang et al. · indexed
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1101. Study on Vision Monitoring Techniques of Driver Fatigue and Loosing Alertness ↗ · 2007 · Zhang, M. H. et al. · indexed
1102. Driver drowsiness detection using EEG power spectrum analysis ↗ · 2014 · Awais, Muhammad et al. · indexed
1103. Intelligent Distraction and Drowsiness Detection System for Automobiles ↗ · 2021 · Chaudhary, Varun et al. · indexed
1104. Research on fatigue driving detection methods ↗ · 2022 · Qin, Ge et al. · indexed
1105. Alert System for Driver Drowsiness using Real Time detection ↗ · 2020 · Aman Doherey et al. · indexed
1106. Driver vigilance level detection systems: a literature survey ↗ · 2015 · Dababneh, Laith et al. · indexed
1107. Real-Time Driver Drowsiness Detection System Using Dlib based on Driver Eye/Mouth Monitoring Technology ↗ · 2022 · Al-Sabban, Wesam H. · indexed
1108. Driver Drowsiness Detection by Employing CNN and Dlib ↗ · 2021 · Ali, Nawazish et al. · indexed
1109. Vigilance Estimation Using a Wearable EOG Device in Real Driving Environment ↗ · 2020 · Zheng, Wei-Long et al. · indexed
1110. Vision-Based Driver Drowsiness and Distraction Detection through Behavioral Indicators of Fatigue ↗ · 2025 · Adhikari, Manoj et al. · indexed
1111. DRIVER ALERT AND MONITORING SYSTEM ↗ · 2022 · DUBEY, PROF. K.B · indexed
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1113. Real -Time EEG-Based Detection of Cognitive Fatigue in Human–Machine Interaction Systems: A Biomedical Engineering Approach · 2025 · Ayeoribe, Olarewaju Peter et al. · archived
1114. How to Reduce Work-Related Road Deaths? Driver Fatigue Monitoring – Case Study · 2025 · DAVIDOVIĆ, Jelica et al. · archived
1115. Driver Drowsiness Detection System ↗ · 2025 · Deshmukh, Pranjali · indexed
1116. Real-time EEG-based detection of ship driving fatigue using sample entropy ↗ · 2023 · Liu, Yu et al. · indexed
1117. Prevalence of Drowsy Driving Crashes: Estimates from a Large-Scale Naturalistic Driving Study · 2018 · AAA Foundation for Traffic Safety · archived
1118. Real-Time Driver's Drowsiness Monitoring Based on Dynamically Varying Threshold ↗ · 2018 · Gupta, Isha et al. · indexed
1119. Computer Vision-Based Driver Behavior Analysis and Fatigue Detection System for Advanced Driver Assistance ↗ · 2025 · Liu, Litao et al. · indexed
1120. Fatigue Driving Detection by Fusing Neural Network and Physiological Indicator ↗ · 2025 · Li, Muze · indexed
1121. Eye blink parameters to indicate drowsiness during naturalistic driving in participants with obstructive sleep apnea: A pilot study ↗ · 2021 · Cori, Jennifer M. et al. · indexed
1122. A Novel Vehicle Speed Control Based on Driver’s Vigilance Detection Using EEG and Sparse Representation ↗ · 2014 · Luo, Dian Yuan et al. · indexed
1123. Countermeasures to Reduce Drowsy Driving: Results of a Literature Review and Discussions with Experts · 2022 · AAA Foundation for Traffic Safety · archived
1124. Efficient Car Alarming System for Fatigue Detection during Driving ↗ · 2012 · Khan, Muhammad · indexed
1125. T-A-MFFNet: Multi-feature fusion network for EEG analysis and driving fatigue detection based on time domain network and attention network ↗ · 2023 · Peng, Bo et al. · indexed
1126. Drowsy Driver Detection using MSER Feature Detection and Binarization on MATLAB ↗ · 2021 · Jamesh, Asma · indexed
1127. Design of a Fatigue Detection System for High-Speed Trains Based on Driver Vigilance Using a Wireless Wearable EEG ↗ · 2017 · Zhang, Xiaoliang et al. · indexed
1128. Technologies for the Monitoring and Prevention of Driver Fatigue ↗ · 2001 · Heitmann, Anneke et al. · indexed
1129. Fatigue during Prolonged Simulated Driving: An Electroencephalogram Study · 2022 · Zuraida, Rida et al. · archived
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1131. Detecting driver fatigue based on nonlinear speech processing and fuzzy SVM ↗ · 2014 · Li, Xiang et al. · indexed
1132. Driver's cognitive state classification toward brain computer interface via using a generalized and supervised technology ↗ · 2010 · Chuang, Chun-Hsiang et al. · indexed
1133. Multi-Head Self-Attention Enhanced Convolutional Neural Network for Driver Fatigue Detection using EEG Signals ↗ · 2023 · Gao, Kai et al. · indexed
1134. Time-Resolved In-Vehicle Drowsiness Monitoring Using Multimodal Electrophysiological Data ↗ · 2019 · Bernarding, Corinna et al. · indexed
1135. Driver's drowsiness monitoring system utilizing microwave Doppler sensor ↗ · 2012 · Staszek, Kamil et al. · indexed
1136. Fatigue Driving Detection System Design Based on Driving Behavior ↗ · 2010 · Hailin, Wang et al. · indexed
1137. Assessing Drivers’ Vigilance State During Monotonous Driving · 2007 · Schmidt, Eike A et al. · archived
1138. Real-Time Driver Alertness and Assistance System · 2026 · Meshram, Ms. Priya · archived
1139. Study on the Effect of Man-Machine Response Mode to Relieve Driving Fatigue Based on EEG and EOG ↗ · 2019 · Wang, Fuwang et al. · indexed
1140. Projection function for driver fatigue monitoring with monocular camera ↗ · 2007 · Bao, Depei et al. · indexed
1141. Potential for driver attention monitoring system development · 1984 · NHTSA · archived
1142. Feasibility of force platform based roadside drowsiness screening – A pilot study ↗ · 2014 · Forsman, Pia et al. · indexed
1143. A neural system for eye detection in a driver vigilance application ↗ · 2005 · D'Orazio, T. et al. · indexed
1144. An Efficient Group Federated Learning Framework for Large-Scale EEG-Based Driver Drowsiness Detection ↗ · 2023 · Chen, Xinyuan et al. · indexed
1145. Identifying the Causes of Drivers’ Hazardous States Using Driver Characteristics, Vehicle Kinematics, and Physiological Measurements · 2018 · Darzi, Ali et al. · archived
1146. Driver fatigue detection based on eye tracking and dynamic template matching ↗ · 2004 · Wen-Bing Horng et al. · indexed
1147. Regression-Based Continuous Driving Fatigue Estimation: Toward Practical Implementation ↗ · 2020 · Bose, Rohit et al. · indexed
1148. Automatic EEG-based Alertness Classification using Sparse Representation and Dictionary Learning ↗ · 2020 · Hadra, Mohammad et al. · indexed
1149. Assessing a potential electroencephalography based algorithm during a monotonous train driving task in train drivers ↗ · 2011 · Jap, Budi T et al. · indexed
1150. Temporal Convolutional Networks for Driver Fatigue Classification from EEG Signals: A Novel Approach ↗ · 2025 · Jui, Julakha Jahan et al. · indexed
1151. Real-Time Driver Alertness Monitoring with Optimized Deep Learning and Haar-Cascade Methods ↗ · 2024 · Rawat, Karan Singh et al. · indexed
1152. Euclidean space data alignment approach for multi‐channel LSTM network in EEG based fatigue driving detection ↗ · 2021 · Tang, Jiahao et al. · indexed
1153. A biomedical approach to retrieve information on driver's fatigue by integrating EEG, ECG and blood biomarkers during simulated driving session ↗ · 2012 · Nayak, Bibhukalyan Prasad et al. · indexed
1154. Fatigue driving detection method based on multi-task cascaded convolutional network ↗ · 2021 · Chen, Kai et al. · indexed
1155. Driver Fatigue Detection Analysis Based on Image Segmentation &amp; Feature Extraction Using SVM ↗ · 2020 · Dogiwal, S.R. et al. · indexed
1156. Driving performance impairments due to hypovigilance on monotonous roads · 2011 · Larue, Grégoire S. et al. · archived
1157. DrowsyDetectNet: Driver Drowsiness Detection Using Lightweight CNN With Limited Training Data ↗ · 2024 · Venkateswarlu, Madduri et al. · indexed
1158. Mitigating Inter-Subject Brain Signal Variability FOR EEG-Based Driver Fatigue State Classification ↗ · 2021 · Hwang, Sunhee et al. · indexed
1159. Sleepiness Detection for Cooperative Vehicle Navigation Strategies ↗ · 2018 · Vasconez, Juan Pablo et al. · indexed
1160. Predicting drowsy driving in real-time situations: Using an advanced driving simulator, accelerated failure time model, and virtual location-based services ↗ · 2017 · Wang, Junhua et al. · indexed
1161. On-Device Multimodal Drowsy Vehicle Driver Detection and Alerting System ↗ · 2025 · Yoon, Jong-Seok et al. · indexed
1162. On-line identification of driver state for lane-keeping tasks ↗ · 2005 · Pilutti, T. et al. · indexed
1163. Comparative Study of CNN Architectures For Driver Drowsiness ↗ · 2023 · Jain, Bhawna et al. · indexed
1164. Detection of Driver Vigilance Level Using EEG Signals and Driving Contexts ↗ · 2018 · Guo, Zizheng et al. · indexed
1165. Study on driver fatigue and loosing alertness based on machine vision ↗ · 2010 · Zhang Ming-heng et al. · indexed
1166. Correlation of Heavy-Truck Driver Fatigue with Vehicle-Based Control Measures ↗ · 1995 · Siegmund, Gunter P. et al. · indexed
1167. Fatigue Driving State Detection Based on Spatial Characteristics of EEG Signals ↗ · 2024 · Chang, Wenwen et al. · indexed
1168. Driver fatigue detection using machine learning methods ↗ · 2022 · Chen, Yi · indexed
1169. Drowsiness Detection and Real-Time System for Monitoring Driver Vigilance Using Raspberry Pi · 2025 · Naidu, Marisarla Ganesh Bhagavan · archived
1170. DRIVER BEHAVIOR MONITORING SYSTEM ↗ · 2021 · Rybak, Andriian · indexed
1171. The effect of prolonged conditionally automated driving on fatigue, physiological activity, and takeover performance: a driving simulator experiment ↗ · 2026 · Coyne, Rory et al. · indexed
1172. Driver Drowsiness Detection Using Machine Learning ↗ · 2025 · P, Mithun et al. · indexed
1173. Evaluating the effectiveness of facial actions features for the early detection of driver drowsiness in driving safety monitoring system ↗ · 2025 · Rahmawati, Yenny et al. · indexed
1174. Application of Graph Neural Network in Driving Fatigue Detection Based on EEG Signals ↗ · 2022 · Mu, Zhendong et al. · indexed
1175. Research of the fatigue driving real-time monitoring based on DSP ↗ · 2008 · Yu Liu et al. · indexed
1176. Validating Photoplethysmography (PPG) data for driver drowsiness detection ↗ · 2021 · Amidei, Andrea et al. · indexed
1177. Robust Drowsiness Detection for Vehicle Driver using Deep Convolutional Neural Network ↗ · 2020 · Saif, A F M Saifuddin et al. · indexed
1178. Time Delay Analysis of Vehicle Handling Variables for Near-Crash Detection of Drowsy Driving Using a Bus Driving Simulator ↗ · 2018 · Ashouri, Mohammad Reza et al. · indexed
1179. Application of Fully Adaptive Symbolic Representation to Driver Mental Fatigue Detection Based on Body Posture ↗ · 2021 · Ansari, Shahzeb et al. · indexed
1180. Real-time driver drowsiness detection using wearable technology ↗ · 2019 · Misbhauddin, Mohammed et al. · indexed
1181. Real driving at night – Predicting lane departures from physiological and subjective sleepiness ↗ · 2014 · Hallvig, David et al. · indexed
1182. A pre-drive ocular assessment predicts alertness and driving impairment: A naturalistic driving study in shift workers ↗ · 2019 · Mulhall, Megan D. et al. · indexed
1183. Tests of a New Drowsiness Characterization and Monitoring System Based on Ocular Parameters ↗ · 2016 · François, Clémentine et al. · indexed
1184. Detection of drowsiness to ensure safety while driving ↗ · 2024 · Manoli, Sunil et al. · indexed
1185. Dashcam-Based Driver Monitor for Semi-Autonomous Driving ↗ · 2023 · Sunagawa, Mika et al. · indexed
1186. Cardiac indices of driver fatigue across in-lab and on-road studies ↗ · 2024 · Musicant, Oren et al. · indexed
1187. A Robust Failure Proof Driver Drowsiness Detection System Estimating Blink and Yawn ↗ · 2020 · Jesudoss, Yogesh Tony et al. · indexed
1188. Steering Entropy Changes as a Function of Microsleeps · 2005 · Paul, Amit et al. · archived
1189. Efficient Measurement of Eye Blinking under Various Illumination Conditions for Drowsiness Detection Systems ↗ · 2006 · Park, Ilkwon et al. · indexed
1190. Real-Time EEG-Based Detection of Fatigue Driving Danger for Accident Prediction ↗ · 2015 · Wang, Hong et al. · indexed
1191. Potential for driver attention monitoring system development · 1985 · Bishop, H. et al. · archived
1192. CNN-GRU for Drowsiness Detection from Electrocardiogram Signal ↗ · 2025 · Hendratno, Setiawan et al. · indexed
1193. Driving Fitness Detection : A Holistic Approach For Prevention of Drowsy and Drunk Driving using Computer Vision Techniques ↗ · 2018 · Chatterjee, Ipshita et al. · indexed
1194. Driver drowsiness detection using face expression recognition ↗ · 2011 · Assari, Mohammad Amin et al. · indexed
1195. Accident Detection and Driver Drowsiness Detection System ↗ · 2025 · Ashtekar, Om et al. · indexed
1196. Multi‐Fatigue Feature Selection and Fuzzy Logic‐Based Intelligent Driver Drowsiness Detection ↗ · 2025 · Arava, Mohan et al. · indexed
1197. Addressing Imbalanced EEG Data for Improved Microsleep Detection: An ADASYN, FFT and LDA-Based Approach · 2024 · Hasan, Md Mahmudul et al. · archived
1198. A New Real-Time Eye Tracking for Driver Fatigue Detection ↗ · 2006 · Zhang, Zutao et al. · indexed
1199. Driver state monitoring and assisted intervention based on deep learning ↗ · 2026 · Thanh, Nguyen Le Chau et al. · indexed
1200. Optimizing Driver Vigilance Recognition: Examining the Characterization and Cumulative Effect of Physiological Signals Across Manual and Automated Driving and Durations ↗ · 2024 · Guo, Mingyang et al. · indexed
1201. Lightweight 2D-1D CNN for Real-Time Driver Drowsiness Detection withFederated Learning on Edge Devices ↗ · 2026 · Guettas, Amina et al. · indexed
1202. Smart Drowsiness Detection for Safe Driving ↗ · 2026 · Ritik, Ravi Shankar, Yogesh, Rahul Kumar et al. · indexed
1203. Vigilance Monitoring for Safer Driving and Passenger Protection using ML ↗ · 2023 · Gupta, Anshula et al. · indexed
1204. Drowsiness Detection using Android Application and Mobile Vision Face API ↗ · 2021 · Rajkumarsingh, B. et al. · indexed
1205. Preliminary on Human Driver Behavior: A Review ↗ · 2020 · Yan, Xiao et al. · indexed
1206. Recognition and Applications of Emotion Detection in Driving Fatigue ↗ · 2015 · Hongzhe, Bi et al. · indexed
1207. Driver fatigue detection using machine vision approach ↗ · 2013 · Singh, A. et al. · indexed
1208. Real-Time Based Driver's Drowsiness and Fatigue Detection System ↗ · 2022 · Srivastava, Ashish et al. · indexed
1209. Comparison Of Machine Learning Algorithms For Heart Rate Variability Based Driver Drowsiness Detection ↗ · 2021 · CD, Aswathi et al. · indexed
1210. Real-Time System for Driver Fatigue Detection Based on a Recurrent Neuronal Network ↗ · 2020 · Ed-Doughmi, Younes et al. · indexed
1211. Real‐time eye tracking for the assessment of driver fatigue ↗ · 2018 · Xu, Junli et al. · indexed
1212. EEG-Based Classification of the Driver Alertness State ↗ · 2020 · Golz, Martin et al. · indexed
1213. Non-Intrusive Driver Drowsiness Monitoring Via Artificial Neural Networks ↗ · 2008 · Culp, J. et al. · indexed
1214. A Channel-Augmented Multi-Domain Graph Convolutional Network for Fatigue Driving Detection ↗ · 2024 · Sun, Mingyi et al. · indexed
1215. AlertNet: Deep convolutional-recurrent neural network model for driving alertness detection · 2021 · Nissimagoudar, P. C. et al. · archived
1216. Automatic Driver Alertness Detection using Machine Learning ↗ · 2021 · Sidaq, Hafsa et al. · indexed
1217. How Facial Features Convey Attention in Stationary Environments · 2022 · Domantay, Janelle et al. · archived
1218. Evaluation of the workload and drowsiness during car driving by using high resolution EEG activity and neurophysiologic indices ↗ · 2014 · Maglione, A. et al. · indexed
1219. A cross-scenario and cross-subject domain adaptation method for driving fatigue detection ↗ · 2024 · Luo, Yun et al. · indexed
1220. Precise eye location in driver fatigue state surveillance system ↗ · 2007 · Huabiao Qin et al. · indexed
1221. Driver Fatigue Monitoring System Using an Artificial Intelligence Algorithm Model ↗ · 2026 · Qabeela Q. Thabit* · indexed
1222. Vision-Based Driver Drowsiness Detection and Smart Alert System ↗ · 2026 · Pawar, Aarti et al. · indexed
1223. Analyzing Different Models for Driver Behavior Detection Using EEG Data ↗ · 2024 · Al-Gburi, Sama Hussein et al. · indexed
1224. A Lightweight MobileNetV3-FPN Framework for Driver Drowsiness Detection ↗ · 2025 · Fu, Guanxing et al. · indexed
1225. LBCM: A Robust Image Based Driver Drowsiness Detection Approach Using Learning Based Blink Classification Methodology ↗ · 2024 · Kumar, V. Jai et al. · indexed
1226. A novel approach of drowsiness levels detection using Vis-Net combined with facial emotion ↗ · 2025 · Phan, Thuong-Cang et al. · indexed
1227. Towards better microsleep predictions in fatigued drivers: exploring benefits of personality traits and IQ ↗ · 2021 · Hidalgo-Gadea, Guillermo et al. · indexed
1228. Survey on Driver’s Drowsiness Detection System ↗ · 2015 · Dharmadhikari, Omkar et al. · indexed
1229. Driver Drowsiness Detection Based on Eye Analysis ↗ · 2018 · Ursulescu, Oana et al. · indexed
1230. Eye-tracking for detection of driver fatigue ↗ · 2002 · Eriksson, M. et al. · indexed
1231. Iot-Enabled Real-Time Driver Monitoring System for Drowsiness and Alcohol Detection Using Arduino and OpenCV · 2026 · Rani, B Usha et al. · archived
1232. Impact of Missing Inter-Beat Intervals on Heart Rate Variability Features and Driver Drowsiness Detection ↗ · 2025 · Styanidis, Aristotelis et al. · indexed
1233. Driver drowsiness is associated with altered facial thermal patterns: Machine learning insights from a thermal imaging approach ↗ · 2024 · Aghamalizadeh, Alireza et al. · indexed
1234. Driver Facial Emotions and Drowsiness Detection for Enhanced Advanced Driver Assistance Systems(ADAS): Safety Management ↗ · 2024 · Bharadwaj, Sippee et al. · indexed
1235. Electroencephalography Activity Associated with Driver Fatigue: Implications for a Fatigue Countermeasure Device ↗ · 2001 · Lal, Saroj K.L. et al. · indexed
1236. Effectiveness of Data Screening for Driver Drowsiness Estimation Using Drive Recorder ↗ · 2021 · Oishi, Hiroyuki et al. · indexed
1237. Real Time Vigilance Detection using Frontal EEG · 2021 · Ganesh, Siddarth et al. · archived
1238. Inattentive Drowsiness Behavior Profile Detection with Heavy Eyed Interval Approach for Biomedical Applications in Health Monitoring System ↗ · 2021 · Sworna Kokila, M. L. et al. · indexed
1239. Can variations in visual behavior measures be good predictors of driver sleepiness? A real driving test study ↗ · 2017 · Wang, Yonggang et al. · indexed
1240. Eye recognition in near-infrared images for driver's drowsiness monitoring ↗ · 2013 · Cyganek, Boguslaw et al. · indexed
1241. Use of Subjective and Physiological Indicators of Sleepiness to Predict Performance during a Vigilance Task ↗ · 2007 · KAIDA, Kosuke et al. · indexed
1242. A Modified Neural Network Model for Real-time Driver Drowsiness Detection System ↗ · 2022 · Roy, Apash et al. · indexed
1243. HEART RATE VARIABILITY BASED DRIVER DROWSINESS DETECTION ↗ · 2024 · Maktouf, Naba Ali et al. · indexed
1244. Benchmarking EEG-based Cross-dataset Driver Drowsiness Recognition with Deep Transfer Learning ↗ · 2023 · Cui, Jian et al. · indexed
1245. Driver Vigilance Detection from EEG Signals using Transformer Networks ↗ · 2022 · Gao, Dingcheng et al. · indexed
1246. A 2-D Vigilance Estimation Method for High-Speed Rail Drivers With Multimodal Sensors ↗ · 2024 · Pan, Yufan et al. · indexed
1247. Multistage End-to-End Driver Drowsiness Alerting System ↗ · 2023 · P, Sowmyashree et al. · indexed
1248. An Analysis of EEG Changes during Prolonged Simulated Driving for the Assessment of Driver Fatigue · 2019 · Zuraida, Rida et al. · archived
1249. A Vision-Based Approach for Real-Time Driver Fatigue Detection Using Facial Landmarks ↗ · 2026 · A M, Pranamya et al. · indexed
1250. Channels selection using independent component analysis and scalp map projection for EEG-based driver fatigue classification ↗ · 2017 · Chai, Rifai et al. · indexed
1251. Machine Learning Approaches for Detecting Driver Drowsiness: A Critical Review ↗ · 2023 · Ahmad, Khubab et al. · indexed
1252. Monitoring driver distraction using machine learning and deep learning techniques ↗ · 2022 · Sakthivel, K. M. E. et al. · indexed
1253. Advanced Motion-Tracking System with Multi-Layers Deep Learning Framework for Innovative Car-Driver Drowsiness Monitoring ↗ · 2019 · Trenta, Francesca et al. · indexed
1254. A novel driver fatigue assessment in uncertain traffic condition ↗ · 2014 · Guo, Wenqiang et al. · indexed
1255. Estimating vigilance in driving simulation using probabilistic PCA ↗ · 2008 · Li, Mu et al. · indexed
1256. Automatic Searching of Lightweight and High-Performing CNN Architectures for EEG-Based Driving Fatigue Detection ↗ · 2024 · Li, Qingqing et al. · indexed
1257. Driver’s Drowsiness Estimation using Nasal Skin Temperature ↗ · 2021 · Isomoto, Ryohei et al. · indexed
1258. A recurrence network-based convolutional neural network for fatigue driving detection from EEG ↗ · 2019 · Gao, Zhong-Ke et al. · indexed
1259. Real-Time ECG-Based Detection of Fatigue Driving Using Sample Entropy ↗ · 2018 · Wang, Fuwang et al. · indexed
1260. 3D-STCNN: Spatiotemporal Convolutional Neural Network Based on EEG 3D Features for Detecting Driving Fatigue · 2023 · Peng, Bo et al. · archived
1261. A TSK-Type Convolutional Recurrent Fuzzy Network for Predicting Driving Fatigue ↗ · 2021 · Du, Guanglong et al. · indexed
1262. SUBJECTIVE METHODS FOR ASSESSMENT OF DRIVER DROWSINESS ↗ · 2017 · Mashko, Alina · indexed
1263. Vehicle Automation Based on Driver Fatigue ↗ · 2012 · Edison, Dharon Joseph et al. · indexed
1264. Effectiveness of Class Weight Balancing in CNN Models for EEG-Based Detection of Driver Drowsiness ↗ · 2024 · Rahmawati, Annida et al. · indexed
1265. Vision-Based Fatigue Driving Recognition Method Integrating Heart Rate and Facial Features ↗ · 2020 · Du, Guanglong et al. · indexed
1266. Estimate vigilance level in driving simulation based on sparse representation ↗ · 2010 · Liu, Hong-Jun et al. · indexed
1267. Driver Drowsiness Monitoring and Detection using Machine Learning ↗ · 2023 · Pandey, Pushkal et al. · indexed
1268. DrowSFormer-XAI: A Cross-Attentive Neural Network-Transformer Fusion Framework for Drowsiness Detection with Explainable AI · 2026 · Rajalingam, Kathirvel et al. · archived
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1270. A Low-Cost System for Dynamic Analysis of Pupillary Light Response for a Driver Drowsiness Detection System ↗ · 2018 · Amodio, Alessandro et al. · indexed
1271. Particle swarm optimization of feedforward neural networks for the detection of drowsy driving ↗ · 2008 · Sandberg, David et al. · indexed
1272. Drowsiness Detection in Drivers Using Facial Feature Analysis ↗ · 2024 · Essel, Ebenezer et al. · indexed
1273. Driver Monitoring System based on Distracted Driving Decision Algorithm ↗ · 2022 · Jeon, Sehwan et al. · indexed
1274. Investigating the impact of driving workload on fatigue and performance for the purpose of road safety · 2026 · Serra, Patrizia et al. · archived
1275. Using neural network for drowsiness detection based on EEG signals and optimization in the selection of its features using genetic algorithm · 2020 · Sarabi, Sepehr et al. · archived
1276. Vehicle and Highway Adaptations to Compensate for Sleepy Drivers ↗ · 2019 · Howard, Mark E. et al. · indexed
1277. EEG Analysis for Cognitive Failure Detection in Driving Using Type-2 Fuzzy Classifiers · 2017 · Saha, Anuradha et al. · archived
1278. Sensitivity of Lane Position and Steering Angle Measurements to Driver Fatigue ↗ · 2016 · Zhang, Hui et al. · indexed
1279. Driver drowsiness monitoring based on yawning detection ↗ · 2011 · Abtahi, Shabnam et al. · indexed
1280. Driver Drowsiness Monitoring and Detecting System Using Deep Neural Network ↗ · 2023 · M, Swetha et al. · indexed
1281. Convolutional Three-Stream Network Fusion for Driver Fatigue Detection from Infrared Videos ↗ · 2019 · Ma, Xiaoxi et al. · indexed
1282. Fatigue Driving Detection Method Based on Improved YOLOv8n ↗ · 2024 · She, Xiangyang et al. · indexed
1283. I think I'm sleepy, therefore I am – Awareness of sleepiness while driving: A systematic review ↗ · 2021 · Cai, Anna W.T. et al. · indexed
1284. Real-Time Driver Drowsiness Detection and Alert System ↗ · 2021 · Jose, Jitha · indexed
1285. Using CNN for Detection of Driver Drowsiness ↗ · 2023 · Kakarla, Vivek · indexed
1286. EOG feature relevance determination for microsleep detection ↗ · 2017 · Golz, Martin et al. · indexed
1287. Implementation Driver Drowsiness Detection usingML/DL(Eyelid movement-based technique) ↗ · 2022 · Singh, Sashikant et al. · indexed
1288. Adaptive Multi-Modal Driver Drowsiness Detection Using Temporal Convolutional Networks ↗ · 2026 · P, Gurumoorthy et al. · indexed
1289. Driver Drowsiness Detection Using Real-Time Heart Rate Variability Data ↗ · 2025 · Rabbi, Riadul Islam et al. · indexed
1290. An enhanced ensemble deep random vector functional link network for driver fatigue recognition ↗ · 2023 · Li, Ruilin et al. · indexed
1291. Human-computer Interaction for Driver Fatigue Detection through Micro-expressions ↗ · 2023 · Zhang, Jinzhao · indexed
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1294. Drowsy Driver Warning for Accident-Avoidance System Using Image Processing · 2022 · Bhagwat, Kiran et al. · archived
1295. Image Recognition based Driver Drowsiness Detection using Python ↗ · 2022 · Kumar, Inakollu Kiran et al. · indexed
1296. Fatigue warning system for driver nodding off using depth image from Kinect ↗ · 2016 · Wongphanngam, Jiramet et al. · indexed
1297. Research on Facial Micro-Expressions Based on Deep Learning for Driver Fatigue Detection ↗ · 2025 · Wang, Wentao · indexed
1298. Drowsiness Detection for Drivers Using Convolutional Neural Networks (CNNs) ↗ · 2024 · Ali · indexed
1299. Assessment of Mental Fatigue: An EEG-Based Forecasting System for Driving Safety ↗ · 2015 · Liu, Yu-Ting et al. · indexed
1300. EEG alpha spindle measures as indicators of driver fatigue under real traffic conditions ↗ · 2011 · Simon, Michael et al. · indexed
1301. Detection and Prediction of Driver Drowsiness for the Prevention of Road Accidents Using Deep Neural Networks Techniques ↗ · 2021 · Nasri, Ismail et al. · indexed
1302. Automatic Drowsiness Alert and Lane Change System ↗ · 2026 · N. S. Patil · indexed
1303. A Real-time Driver Fatigue Detection Method Based on Two-Stage Convolutional Neural Network ↗ · 2020 · He, Hu et al. · indexed
1304. Blink Duration as an Indicator of Driver Sleepiness in Professional Bus Drivers ↗ · 1999 · Häkkänen, Helinä et al. · indexed
1305. A Real-time Driver Fatigue Monitoring System Based on Lightweight Convolutional Neural Network ↗ · 2021 · Zhou, Chunyu et al. · indexed
1306. CNN-LSTM To Identify The Most Informative EEG-Based Driver Drowsiness Detection Brain Region ↗ · 2022 · Latreche, Imene et al. · indexed
1307. Vision Transformer-Based Real-Time Driver Drowsiness Monitoring with Enhanced Safety Performance ↗ · 2026 · Reddy, Anduri Manisha et al. · indexed
1308. Preventing Accidents Through Fatigue Detection An Intelligent Driver Alertness System ↗ · 2025 · Computer Science Department, JSS College of Arts Commerce and Science Ooty-Road, Mysuru. et al. · indexed
1309. A Semi-Supervised Wasserstein Generative Adversarial Network for Classifying Driving Fatigue from EEG signals ↗ · 2019 · Panwar, Sharaj et al. · indexed
1310. Driver Behavior Analysis for Safe Driving: A Survey ↗ · 2015 · Kaplan, Sinan et al. · indexed
1311. Driver Drowsiness Detection System Using Image Processing ↗ · 2023 · Kumar, Rishabh et al. · indexed
1312. Sleep‐related eye symptoms and their potential for identifying driver sleepiness ↗ · 2014 · Filtness, Ashleigh J. et al. · indexed
1313. Lightweight Attention-based Temporal Modeling of Key Facial Features for Driver Fatigue Detection in Intelligent Driver Monitoring Systems ↗ · 2025 · Song, Bailing et al. · indexed
1314. Retracted: Convolutional Neural Network based Driver Fatigue Recognition by Utilizing the Facial Features ↗ · 2022 · Suseela, S et al. · indexed
1315. A Review of Psychophysiological Measures to Assess Cognitive States in Real-World Driving · 2019 · Strayer, David L. · archived
1316. Driver Fatigue Detection Based Intelligent Vehicle Control ↗ · 2006 · Zutao Zhang et al. · indexed
1317. Evaluation of Fatigue in Older Drivers Using a Multimodal Medical Sensor and Driving Simulator ↗ · 2024 · Yoshida, Yutaka et al. · indexed
1318. Machine Learning Models for the Classification of Sleep Deprivation Induced Performance Impairment During a Psychomotor Vigilance Task Using Indices of Eye and Face Tracking ↗ · 2020 · Daley, Matthew S. et al. · indexed
1319. A Review of Driver Fatigue Detection and Warning Based on Multi-Information Fusion ↗ · 2020 · Zhan, Qi et al. · indexed
1320. Study on Driving Fatigue Evaluation System Based on Short Time Period ECG Signal ↗ · 2018 · Lei, Jianmei et al. · indexed
1321. Detection of fatigue of vehicular driver using skin conductance and oximetry pulse ↗ · 2009 · Bundele, Mahesh M. et al. · indexed
1322. Evaluation of driver drowsiness by trained raters ↗ · 1994 · Wierwille, Walter W. et al. · indexed
1323. Vision-Based Driver Alertness Monitoring Using LSTM-Based Cognitive Drift Analysis and Post- Detection Verification ↗ · 2026 · Kavitha, D.N.S.B et al. · indexed
1324. EEG Information Transfer Changes in Different Daily Fatigue Levels During Drowsy Driving · 2024 · Huang, Kuan-Chih et al. · archived
1325. Driver fatigue detection based on lightweight MobileNetV2 ↗ · 2023 · Wang, Haoyuan · indexed
1326. A Vehicle Active Safety Model: Vehicle Speed Control Based on Driver Vigilance Detection Using Wearable EEG and Sparse Representation ↗ · 2016 · Zhang, Zutao et al. · indexed
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1550. Non-contact Fatigue Driving Detection Using CW Doppler Radar ↗ · 2018 · Gu, Xu et al. · indexed
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1555. Driver Fatigue and Distracted Driving Detection Using Random Forest and Convolutional Neural Network ↗ · 2022 · Dong, Bing-Ting et al. · indexed
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1557. Effect Of Driving Duration On Eeg Fluctuations · 2017 · Puspasari, Maya Arlini et al. · archived
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1574. Short-Term EEG Patterns of Driver Drowsiness and their Relation to Crashes ↗ · 2013 · Golz, Martin et al. · indexed
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1576. Fatigue Driving Monitoring System Based on Facial Feature Recognition ↗ · 2025 · Wang, Shangyu et al. · indexed
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1584. EEG-Based Driver Fatigue Monitoring within a Human–Ship–Environment System: Implications for Ship Braking Safety ↗ · 2023 · Ren, Bin et al. · indexed
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1604. Driver Fatigue Features Extraction ↗ · 2014 · Niu, Gengtian et al. · indexed
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1606. Realization of a Safe Driving Monitoring System for Motor Vehicles ↗ · 2024 · Lin, Hongxiang et al. · indexed
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1609. Differential Self-Attention in 1-D CNNs for Driver Inattention Detection Using Multimodal Biosignals ↗ · 2026 · Pavan, Kaveti et al. · indexed
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1611. Real Time Driver Fatigue Recognition Based on Image Processing ↗ · 2017 · Ingale, Bhuvaneshwari et al. · indexed
1612. Non-intrusive Drowsiness Detection Techniques and Their Application in Detecting Early Dementia in Older Drivers · 2022 · Jan, Muhammad Tanveer et al. · archived
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1619. Frequency-based Incremental Feature Extraction and Machine Learning in EEG for Better Driver Fatigue Detection ↗ · 2025 · Sim, Doreen Y. Y. et al. · indexed
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1757. EEG-Based Driving Fatigue Alleviation Using Multi-Acupoint Electrical Stimulation Combine Music Conditioning Method · 2021 · Wang, Fuwang et al. · archived
1758. Assessment of Driver Monitoring Systems for Alcohol Impairment Detection and Level 2 Automation · 2024 · Prendez, David M et al. · archived
1759. &lt;p&gt;The Psychomotor Vigilance Test Compared to a Divided Attention Steering Simulation in Patients with Moderate or Severe Obstructive Sleep Apnea&lt;/p&gt; ↗ · 2020 · Huang, Ying et al. · indexed
1760. Subjective Perception of Sleepiness in a Driving Simulator is Different from Perception in the Maintenance of Wakefulness Test (P5.291) ↗ · 2014 · Schreier, David et al. · indexed
1761. CONSTRUCTION OF A DETECTOR OF FATIGUE SYMPTOMS IN CAR DRIVERS ↗ · 2020 · Department of Flight Simulator Innovations, Military Institute of Aviation Medicine et al. · indexed
1762. An early warning system for predicting driver fatigue ↗ · 2017 · Lin, Yu-Yao et al. · indexed
1763. Driver State Monitoring System ↗ · 2019 · Guettas, Amina et al. · indexed
1764. Microsleep episodes in the borderland between wakefulness and sleep · 2019 · Hertig-Godeschalk, Anneke et al. · archived
1765. Driving Fatigue and Performance among Occupational Drivers in Simulated Prolonged Driving · 2010 · Seen, Kee Sze et al. · archived
1766. The Influence of Advanced Driver Assistance Systems on Fatigue Development Among Long-Haul Truck Drivers · 2025 · Huang, Chunxi et al. · archived
1767. Driver Fatigue Detection Using TGAM EEG Signal Processing Module ↗ · 2023 · Lin, Liang-Sian et al. · indexed
1768. Enhancing Driver Fatigue Monitoring: A Hybrid Human–Machine Intelligence Framework with Adaptive Real-time Feedback ↗ · 2025 · Zhu, Tianjun et al. · indexed
1769. Advancements and Perspectives in Fatigue Driving Detection: A Comprehensive Review ↗ · 2024 · Yan, Xiao et al. · indexed
1770. Analysis of Naturalistic Driving Data to Assess Distraction and Drowsiness in Drivers of Commercial Motor Vehicles · 2021 · Hammond, Rebecca L. et al. · archived
1771. Heart Rate Variability Can Be Used to Estimate Sleepiness-related Decrements in Psychomotor Vigilance during Total Sleep Deprivation ↗ · 2012 · Chua, Eric Chern-Pin et al. · indexed
1772. Non-Intrusive ECG Measurement on Vehicle Steering Wheel and Driver Seat ↗ · 2008 · Hu, Shan et al. · indexed
1773. A Review Study on the Use of Oculometry in the Assessment of Driver Cognitive States ↗ · 2021 · Dang, Thomas et al. · indexed
1774. An improved image-based iris-tracking for driver fatigue detection system ↗ · 2017 · Wang, Fei et al. · indexed
1775. On the efficiency of driver state monitoring systems ↗ · 2007 · Dementienko, V. V. et al. · indexed
1776. Fatigue risk management based on self-reported fatigue: Expanding a biomathematical model of fatigue-related performance deficits to also predict subjective sleepiness · 2021 · McCauley, Mark et al. · archived
1777. Classification of Drivers’ Mental Workload Levels: Comparison of Machine Learning Methods Based on ECG and Infrared Thermal Signals ↗ · 2022 · Cardone, Daniela et al. · indexed
1778. A Temporal–Spatial Deep Learning Approach for Driver Distraction Detection Based on EEG Signals ↗ · 2022 · Li, Guofa et al. · indexed
1779. Generalized Deep Learning EEG Models for Cross-Participant and Cross-Task Detection of the Vigilance Decrement in Sustained Attention Tasks ↗ · 2021 · Kamrud, Alexander et al. · indexed
1780. Internet-of-vehicle-oriented fatigue driving state detection mechanism ↗ · 2016 · Xu, Xiaolong et al. · indexed
1781. Driving-Induced Neurological Biomarkers in an Advanced Driver-Assistance System ↗ · 2021 · Hussain, Iqram et al. · indexed
1782. Are drivers aware of sleepiness and increasing crash risk while driving? ↗ · 2014 · Williamson, Ann et al. · indexed
1783. Multimodel System for Driver Distraction Detection and Elimination ↗ · 2022 · AbouOuf, Abdulrahman et al. · indexed
1784. Cognitive Workload Detection from Raw EEG-Signals of Vehicle Driver using Deep Learning ↗ · 2019 · Almogbel, Mohammad A. et al. · indexed
1785. Computer Vision Based Driver Health and Wellness Monitoring System: A) Fatigue Detection, B) Emotional Wellbeing ↗ · 2026 · Iqbal, Shoaib et al. · indexed
1786. Processing and filtrating of driver fatigue characteristic parameters based on rough set ↗ · 2018 · Ye, Wenwu et al. · indexed
1787. Comparative Study of Various Face Detection Methods for Driver Drowsiness Detection ↗ · 2024 · Bajaj, Jaspreet Singh et al. · indexed
1788. Driving behavior recognition using EEG data from a simulated car-following experiment ↗ · 2018 · Yang, Liu et al. · indexed
1789. Driver Eye Location and State Estimation Based on a Robust Model and Data Augmentation ↗ · 2021 · Ling, Yancheng et al. · indexed
1790. Detecting inter-sectional accuracy differences in driver drowsiness detection algorithms ↗ · 2020 · Ngxande, Mkhuseli et al. · indexed
1791. Design of a control and monitoring system to reduce traffic accidents due to drowsiness through image processing ↗ · 2019 · Eraldo, Bruno et al. · indexed
1792. Real-time EEG-based detection of driving fatigue using a novel semi-dry electrode with self-replenishment of conductive fluid ↗ · 2024 · Wang, Fuwang et al. · indexed
1793. Phase Fluctuation Analysis in Functional Brain Networks of Scaling EEG for Driver Fatigue Detection · 2020 · Fu, Rongrong et al. · archived
1794. Classification of Driver Cognitive Load: Exploring the Benefits of Fusing Eye-Tracking and Physiological Measures ↗ · 2022 · He, Dengbo et al. · indexed
1795. Monitoring Driver Fatigue Via Driving Performance ↗ · 2020 · Fairclough, Stephen · indexed
1796. Driver Distraction Detection using Deep Learning and Computer Vision ↗ · 2019 · Kusuma, S. et al. · indexed
1797. Heart Rate Variability: A New Index of Driver Alertness/Fatigue ↗ · 1972 · O'Hanlon, James F. · indexed
1798. Next-Generation Driver Monitoring Systems: A Review of Multimodal Detection of Distraction, Drowsiness, and Sudden Medical Conditions ↗ · 2026 · Kazum, Hasan A. et al. · indexed
1799. Daytime driving simulation performance and sleepiness in obstructive sleep apnoea patients ↗ · 2007 · Pizza, Fabio et al. · indexed
1800. YOLO11n-LDS: a lossless downsampling and direction-aware framework for robust driver distraction and fatigue detection ↗ · 2026 · Chen, Yi Ying et al. · indexed
1801. Physiological Methods and Measurements in Driving Simulation ↗ · 2004 · Rizzo, Matthew · indexed
1802. DL-Based Somnolence Detection for Improved Driver Safety and Alertness Monitoring ↗ · 2024 · Neeraja, Peddinti. et al. · indexed
1803. Embedded ECG Based Real Time Monitoring and Control of Driver Drowsiness Condition ↗ · 2015 · Sangeetha, M. · indexed
1804. Microsleep as a Risk Factor for Unsafe Behavior: A Systematic Literature Review · 2026 · Ihsan, Elga Alifqiah et al. · archived
1805. Fast Driver Distraction and Fatigue Detection Systems based on Multiple Facial Behavior ↗ · 2022 · Dai, Qiyuan et al. · indexed
1806. Nonparametric Single-Trial EEG Feature Extraction and Classification of Driver's Cognitive Responses · 2008 · Lin, Chin-Teng et al. · archived
1807. Relevant Physiological Indicators for Assessing Workload in Conditionally Automated Driving, Through Three-Class Classification and Regression · 2022 · Meteier, Quentin et al. · archived
1808. The Effect of Different Drowsiness Levels on Driving Suitability Test Results ↗ · 2018 · Liu, Tong et al. · indexed
1809. Monitoring drivers drowsiness using a wide angle lens ↗ · 2013 · Amine, Aouatif et al. · indexed
1810. Effects of acute or cumulative 8-hour sleep loss on simulated driving in a naturalistic, monotonous night-time setting: a randomized, controlled, crossover trial · 2026 · Lakämper, Stefan et al. · archived
1811. FATCM: Frequency-Aware Temporal Convolution Model for Driver Risk Responsiveness Detection Based on EEG ↗ · 2024 · Zhang, Wenqi et al. · indexed
1812. ANALYSIS OF METHODS FOR DETERMINING DRIVER FATIGUE AND A WAYS OF THEIR IMPROVEMENT ↗ · 2022 · Poghosyan, Vigen · indexed
1813. Enhanced Driver Fatigue Classification via a Novel Residual Polynomial Network with EEG Signal Analysis ↗ · 2026 · Gao, Bing et al. · indexed
1814. Comprehensive study of driver behavior monitoring systems using computer vision and machine learning techniques · 2024 · Furht, Borko · archived
1815. Comparative analysis of drowsiness and performance in conditionally automated driving and manual driving considering the effect of circadian rhythm ↗ · 2022 · Zhang, Qi et al. · indexed
1816. Drowsiness Detection System ↗ · 2025 · Sanket Badave et al. · indexed
1817. Fit for purpose of on-the-road driving and simulated driving: A randomised crossover study using the effect of sleep deprivation · 2023 · Koopmans, Ingrid et al. · archived
1818. Driver yawning detection based on deep convolutional neural learning and robust nose tracking ↗ · 2015 · Weiwei Zhang et al. · indexed
1819. Why Do People Have Drowsy Driving Crashes? Input from Drivers Who Just Did · 1999 · Stutts, Jane C. et al. · archived
1820. Exploring the effect of driver drowsiness on takeover performance during automated driving: An updated literature review · 2025 · Pan, Hengyan et al. · archived
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1822. Power Analysis of EEG Data in Multiple Brain Regions during Fatigue Driving ↗ · 2019 · Yang, Yaru et al. · indexed
1823. Video-based observer rated sleepiness versus self-reported subjective sleepiness in real road driving ↗ · 2015 · Ahlstrom, Christer et al. · indexed
1824. Balanced Leave-One-Subject-Out Cross- Validation for Microsleep Classification ↗ · 2021 · Pauli, Martin Patrick et al. · indexed
1825. Lane keeping performances subjected to whole-body vibrations · 2018 · Azizan, Amzar et al. · archived
1826. Detecting driver inattention by rough iconic classification ↗ · 2013 · Masala, G. L. et al. · indexed
1827. Brain Network Changes in Fatigued Drivers: A Longitudinal Study in a Real-World Environment Based on the Effective Connectivity Analysis and Actigraphy Data ↗ · 2018 · Fonseca, André et al. · indexed
1828. Sound Strategies for Safe Driving: Exploring Auditory Interventions to Counteract Passive Driver Fatigue · 2024 · Papachristos, Eleftherios et al. · archived
1829. Simultaneous analysis of driver behaviour and road condition for driver distraction detection ↗ · 2011 · Rezaei, Mahdi et al. · indexed
1830. Validating lane drifts as a predictive measure of drug or sleepiness induced driving impairment · 2020 · Vinckenbosch, F. R. J. et al. · archived
1831. Driver inattention and highway safety · 1985 · Sussman, E. D. et al. · archived
1832. EEG-signals based cognitive workload detection of vehicle driver using deep learning ↗ · 2018 · Almogbel, Mohammad A. et al. · indexed
1833. Using Mobile Platform to Detect and Alerts Driver Fatigue ↗ · 2015 · F., Maysoon et al. · indexed
1834. AI-Based Driver Drowsiness Detection using Eye Blink Monitoring with Automated Speed Control and Warning Alert ↗ · 2026 · S, Manubrindha. et al. · indexed
1835. EEG-based mental fatigue assessment during driving by using sample entropy and rhythm energy ↗ · 2015 · Wang, Fei et al. · indexed
1836. A Driving Fatigue Feature Detection Method Based on Multifractal Theory ↗ · 2022 · Wang, Fuwang et al. · indexed
1837. EEG-Based Detection of Braking Intention Under Different Car Driving Conditions · 2018 · Hernández, Luis G. et al. · archived
1838. Real-Time Safety Automobile Driver System ↗ · 2015 · Shawkat, Azmi et al. · indexed
1839. Real-Time Detection of Driver Cognitive Distraction Using Support Vector Machines ↗ · 2007 · Liang, Yulan et al. · indexed
1840. Monitoring head/eye motion for driver alertness with one camera ↗ · 2002 · Smith, P. et al. · indexed
1841. Assessment of Driver Inattention State using Multimodal Attentive Feature Fusion ↗ · 2025 · Pavan, Kaveti et al. · indexed
1842. Impact of Local/Short Haul Operations on Driver Fatigue [Report] · 2000 · Hanowski, Richard J. · archived
1843. Personalized Driver Workload Inference by Learning From Vehicle Related Measurements · 2019 · Yi, Dewei et al. · archived
1844. Electroencephalogram and electrocardiograph assessment of mental fatigue in a driving simulator ↗ · 2012 · Zhao, Chunlin et al. · indexed
1845. Data and methods for studying commercial motor vehicle driver fatigue, highway safety and long-term driver health · 2018 · Stern, Hal S. et al. · archived
1846. A Multi-Facets Analysis of the Driver Status by EEG and Fuzzy Hardware Processing ↗ · 2006 · Faro, A. et al. · indexed
1847. Research on Driving Fatigue Alleviation Using Interesting Auditory Stimulation Based on VMD-MMSE ↗ · 2021 · Wang, Fuwang et al. · indexed
1848. Autonix: Real-Time Driver Drowsiness and Crash Detection System · 2025 · Shaikh, Maizah et al. · archived
1849. Recognition System for Fatigue Facial Expression of Driver ↗ · 2014 · Wang, Xue Mei et al. · indexed
1850. Detection of consciousness degradation and concentration of a driver for friendly information service ↗ · 2002 · Kojima, N. et al. · indexed
1851. Driver inattention monitoring system based on multimodal fusion with visual cues to improve driving safety ↗ · 2016 · Li, Xuanpeng et al. · indexed
1852. Long-term effects of daylight saving time on driving fatigue · 2024 · Orsini, Federico et al. · archived
1853. An Android-Based Driver Drowsiness Monitoring System ↗ · 2015 · Hu, Jianfeng et al. · indexed
1854. A Lightweight Architecture For Driver Status Monitoring Via Convolutional Neural Networks ↗ · 2019 · He, Jinyang et al. · indexed
1855. Development &amp; Testing of a Camera-Based Driver Monitoring System ↗ · 2024 · Bhagat, Ajinkya et al. · indexed
1856. The Influence of Sleep Quality, Vigilance, and Sleepiness on Driving-Related Cognitive Abilities: A Comparison between Young and Older Adults · 2020 · Bartolacci, Chiara et al. · archived
1857. Multiclass Classification of Driver Perceived Workload Using Long Short-Term Memory based Recurrent Neural Network ↗ · 2018 · Manawadu, Udara E. et al. · indexed
1858. Container based Driver Fatigue System using IoT ↗ · 2022 · Radhika, E. G. et al. · indexed
1859. Localized energy study for analyzing driver fatigue state based on wavelet analysis ↗ · 2007 · Zhong, Yan-Jiong et al. · indexed
1860. Influencing Alertness Through Remote Coaching for Professional Drivers ↗ · 2025 · Filtness, Ashleigh et al. · indexed
1861. Neurophysiological mental fatigue assessment for developing user-centered Artificial Intelligence as a solution for autonomous driving ↗ · 2023 · Giorgi, Andrea et al. · indexed
1862. Eye-based driver state monitor of distraction, drowsiness, and cognitive load for transitions of control in automated driving ↗ · 2016 · Cabrall, Christopher et al. · indexed
1863. Analyzing Gaze Data During Rest Time/Driving Simulator Operation Using Machine Learning · 2022 · Fujikake, Kazuhiro et al. · archived
1864. Design and implementation of driver drowsiness detection system on digitalized driver system ↗ · 2013 · Rusmin, Pranoto Hidaya et al. · indexed
1865. Yawning Detection for Monitoring Driver Fatigue ↗ · 2007 · Fan, Xiao et al. · indexed
1866. Why Do People Have Drowsy Driving Crashes? Input From Drivers Who Just Did · 1999 · Vaughn, Bradley V. et al. · archived
1867. IoT Based Driver Drowsiness Detection Using Convolutional Neural Network ↗ · 2025 · Nair, Pranav et al. · indexed
1868. A Low-Cost Prototype for Driver Fatigue Detection ↗ · 2019 · Meireles, Tiago et al. · indexed
1869. Comparing Pupil Dilation, Head Movement, and EEG for Distraction Detection of Drivers ↗ · 2018 · Prabhakar, Gowdham et al. · indexed
1870. r-principal subspace for driver cognitive state classification ↗ · 2015 · Almahasneh, Hossam et al. · indexed
1871. Drowsiness Detection System for Vehicles Using Raspberry PI ↗ · 2025 · EM, Athul Krishna · indexed
1872. Attention-guided Dual Enhancement Train Driver Fatigue Detection Based on MTCNN ↗ · 2021 · Liu, Weili et al. · indexed
1873. Real-Time Driver Fatigue Detection and Alert System ↗ · 2025 · Avşar, Murat et al. · indexed
1874. Prevalence of Self-Reported Drowsy Driving, United States: 2015 · 2015 · AAA Foundation for Traffic Safety · archived
1875. Real-Time Driver Microsleep Detection Using Lightweight MobileViT and Haar Cascade ↗ · 2025 · Syahada Mawarda Hutagalung et al. · indexed
1876. Incremental modeling and its application for driver fatigue estimation ↗ · 2025 · Kovács, Szilárd et al. · indexed
1877. A Time-Efficient Deep Learning Approach for Real-Time EEG-Based Driver Drowsiness Detection ↗ · 2024 · Sahar, Tayyaba et al. · indexed
1878. Driver impairment detection using decision tree based feature selection and classification ↗ · 2023 · Çetinkaya, Mert et al. · indexed
1879. Tracking drivers’ minds: Continuous evaluation of mental load and cognitive processing in a realistic driving simulator scenario by means of the EEG ↗ · 2023 · Wascher, Edmund et al. · indexed
1880. Music as a countermeasure to fatigue: A driving simulator study · 2024 · Orsini, Federico et al. · archived
1881. Driver Drowsiness Detection System Using Artificial Intelligence ↗ · 2023 · Shraddha et al. · indexed
1882. Research on driving fatigue detection model in plateau based on steering wheel indicators ↗ · 2025 · Guo, Xinyi et al. · indexed
1883. An improved CapsNet based on data augmentation for driver vigilance estimation with forehead single-channel EEG ↗ · 2024 · Yang, Huizhou et al. · indexed
1884. Real-Time Drowsiness Detection Using YOLOv11 in Driver Monitoring Systems ↗ · 2026 · Lokeshappa, Santhosh Kumar Kadur et al. · indexed
1885. Measurement of pilots’ fatigue, attention and vigilance using EEG, ECG and EYE tracking in the simulated environment · 2025 · RUSU, Victoria et al. · archived
1886. Machine Learning EEG signal processing for Driver Fatigue Detection in Brain-Computer Interface Applications ↗ · 2025 · Rusu-Both, Roxana et al. · indexed
1887. Fusion of driver-information based driver status recognition for co-pilot system ↗ · 2016 · Jinwoo Kim et al. · indexed
1888. The Design and Implementation of a Drowsiness Detection and Alarm System ↗ · 2026 · Computer Engineering, Sunmoon university, Korea et al. · indexed
1889. Sleepy driving on the real road and in the simulator—A comparison ↗ · 2012 · Hallvig, David et al. · indexed
1890. Driver Status Monitoring System with Feedback from Fatigue Detection and Lane Line Detection ↗ · 2022 · Yan, Kai et al. · indexed
1891. IR Remote Control and Eye Blink Sensor based Implementation of Driver Drowsiness Detection ↗ · 2020 · G. H. Patel PG Department of Computer Science and Technology, Sardar Patel University, Vallabh Vidyanagar, Gujarat, India. et al. · indexed
1892. Classifying Vulnerability to Sleep Deprivation Using Baseline Measures of Psychomotor Vigilance ↗ · 2015 · Patanaik, Amiya et al. · indexed
1893. Systematic review of cognitive impairment in drivers through mental workload using physiological measures of heart rate variability · 2024 · Raza, Mansoor S. et al. · archived
1894. Real-Time Vehicle Driver Drowsiness Prediction Using Image Processing ↗ · 2022 · Sathya, Dr.R. · indexed
1895. Driver monitoring algorithm for advanced driver assistance systems ↗ · 2016 · Simic, Aleksandra et al. · indexed
1896. Driver fatigue detection : A survey ↗ · 2009 · Coetzer, R.C. et al. · indexed
1897. Research on Distracted Driving State Recognition and Its Impact Using an Ensemble Learning Model Based on Multimodal Information Fusion ↗ · 2026 · Ma, Dezhong et al. · indexed
1898. Driver Attention Monitoring Using Camera ↗ · 2026 · Srivastava, Vaibhav et al. · indexed
1899. Relaxation State Assessment on Sleepy Driver through EEG-Based Ensemble Learning ↗ · 2024 · Umsura, Bunyarat et al. · indexed
1900. Application to Detect Driver Distraction Using Haar Cascade Method ↗ · 2023 · Zainuddin, Natasyha et al. · indexed
1901. Hypovigilance warning system: A review on driver alerting techniques ↗ · 2011 · Arun, S et al. · indexed
1902. A novel EEG-driven multidimensional modelling of the Driver Performance Envelope for a user-centred human-vehicle interaction · 2026 · Giorgi, Andrea et al. · archived
1903. Real-Time CNN-Based Driver Distraction &amp; Drowsiness Detection System ↗ · 2023 · Ali Almazroi, Abdulwahab et al. · indexed
1904. Driver Drowsiness Detection Using DLIB ↗ · 2022 · Jain, Mayank et al. · indexed
1905. Multimodal Driver State Modeling through Unsupervised Learning · 2021 · Tavakoli, Arash et al. · archived
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1907. A Study of Body Motion Detection Method Using Wearable Sensor for Driver State Estimation ↗ · 2018 · Suwa, Koji et al. · indexed
1908. Driver drowsiness detection using single-channel dry EEG ↗ · 2017 · Song, Xiaomu et al. · indexed
1909. A Convolutional Neural Network-Based Method for Real- Time Eye State Identification in Driver Drowsiness Detection ↗ · 2023 · Gill, Kanwarpartap Singh et al. · indexed
1910. Real-time driver drowsiness feedback improves driver alertness and self-reported driving performance ↗ · 2015 · Aidman, Eugene et al. · indexed
1911. Security of drivers in intelligent transportation systems: privacy-preserving federated transfer learning for driver drowsiness detection ↗ · 2026 · Ahmad, Khubab et al. · indexed
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1913. Smart Fatigue Phone: Real-time estimation of driver fatigue using smartphone-based cortisol detection ↗ · 2019 · Shin, Joonchul et al. · indexed
1914. A Turn in the Road: Real-life Driving Differences in Obstructive Sleep Apnoea and Excessive Daytime Sleepiness ↗ · 2025 · Lee, Kieran O. et al. · indexed
1915. Driving Fatigue Recognition With Functional Connectivity Based on Phase Synchronization ↗ · 2021 · Wang, Hongtao et al. · indexed
1916. Remote Tower Air Traffic Controller Fatigue Detection Based on Eye-Tracking and EEG Fusion ↗ · 2026 · Song, Dajiang et al. · indexed
1917. Driver Distraction Detection in Conditionally Automated Driving Using Multimodal Physiological and Ocular Signals ↗ · 2025 · Zhou, Yang et al. · indexed
1918. S24 Predicting driver sleepiness in OSAHS: towards a screening tool for road safety ↗ · 2025 · Kumar, A et al. · indexed
1919. Drowsiness Detection Application ↗ · 2022 · Drowsiness Detection Application et al. · indexed
1920. A Novel Learning Model of Driver Fatigue Features Representation for Steering Wheel Angle ↗ · 2022 · Li, Zuojin et al. · indexed
1921. Research on key technologies of intelligent transportation based on image recognition and anti-fatigue driving ↗ · 2019 · Wang, Jun et al. · indexed
1922. Predicting driver distraction using a single channel ear EEG · 2026 · Popov, Tzvetan et al. · archived
1923. IoT-based Eyes Closure Alert System for Drowsy Driver ↗ · 2023 · Nursyuhada Amir Shariffuddin et al. · indexed
1924. Driver Behavior Analysis Using Deep Learning ↗ · 2022 · K R, Prasanna Kumar et al. · indexed
1925. 0622 The Psychomotor Vigilance Task as a Diagnostic Tool for Hypersomnolence ↗ · 2019 · Moron, Danielle et al. · indexed
1926. Driver alertness sensing ↗ · 2006 · Holzbecher, J. et al. · indexed
1927. MEASUREMENT OF HEART RATE TO DETERMINE CAR DRIVERS' PERFORMANCE IMPAIRMENT IN SIMULATED DRIVING: AN OVERVIEW ↗ · 2016 · Ismail, Faizul Rizal et al. · indexed
1928. Multimodal Wearable-Based Automated Driver Inattention State Assessment Using Multidevices and Novel Cross-Modal Attention Framework ↗ · 2025 · Pavan, Kaveti et al. · indexed
1929. Research on the Management of Real-Time Driver Fatigue Detection System ↗ · 2024 · You, Miaona · indexed
1930. Advanced Driver Assistance Systems for Driver Health and Fatigue Monitoring Using Camera, Biometric Sensors, Telematics and Machine Learning ↗ · 2025 · Bhargav, Matavalam · indexed
1931. Cognitive Distraction Detection Using Gaze and Pupil with an Interpretable Approach · 2025 · Tamura, Kimimasa et al. · archived
1932. Design of drowsiness, heart beat detection system and alertness indicator for driver safety ↗ · 2016 · Anilkumar, C. V et al. · indexed
1933. Feasibility Study on Contactless Feature Analysis for Early Drowsiness Detection in Driving Scenarios ↗ · 2025 · Choi, Yebin et al. · indexed
1934. Technical Study of Microsleep Operations as Follow-up to Drowsiness-Related Accidents on the Terbanggi Besar - Pematang Panggang - Kayuagung Toll Road ↗ · 2025 · Siregar, Deo et al. · indexed
1935. Improvement of driver- state estimation algorithm using multi-modal information ↗ · 2015 · Yang, Ji Hyun et al. · indexed
1936. Multimodal Recognition of Cognitive Workload for Multitasking in the Car ↗ · 2010 · Putze, Felix et al. · indexed
1937. A convolutional neural network -based driver monitoring system for drowsiness and distraction detection ↗ · 2026 · Benkouider, Sara et al. · indexed
1938. Investigation on Driver Drowsiness Detection using Deep Learning Approaches ↗ · 2023 · S, Dakshnakumar G et al. · indexed
1939. IoT-Based Non-Intrusive Automated Driver Drowsiness Monitoring Framework for Logistics and Public Transport Applications to Enhance Road Safety ↗ · 2023 · Khan, M. Adil et al. · indexed
1940. Research on Heart Rate Variability to Driver Fatigue Detection of Dangerous Chemicals Vehicles Based on Simulation Analysis ↗ · 2014 · He, Wang · indexed
1941. Driver Distraction Detection and Identity Recognition in Real-Time ↗ · 2010 · Zeng, Jinhua et al. · indexed
1942. Automobile Driver Fatigue Detection Method Based on Facial Image Recognition under Single Sample Condition ↗ · 2021 · Xiao, Cangyan et al. · indexed
1943. 3DCNN-Based Real-Time Driver Fatigue Behavior Detection in Urban Rail Transit ↗ · 2019 · Liu, Yiqing et al. · indexed
1944. Advanced CNN Architecture for Intelligent Driver Drowsiness Detection ↗ · 2026 · Pandey, Jyoti et al. · indexed
1945. Enhancing Driver Safety Using Deep Learning Models ↗ · 2024 · Shokeen, Ishaan et al. · indexed
1946. Multi-channel EEG recordings during a sustained-attention driving task · 2019 · Cao, Zehong et al. · archived
1947. Driver Distraction Identification using Multiple Machine Learning Approaches ↗ · 2021 · Pandey, Nageshwar Nath et al. · indexed
1948. Smartwatch-based driver alertness monitoring with wearable motion and physiological sensor ↗ · 2015 · Boon-Giin Lee et al. · indexed
1949. Methods and Tools for Monitoring Driver's Behavior · 2022 · Jan, Muhammad Tanveer et al. · archived
1950. How does long trip affect on driving performance, eye blinks and awareness of sleepiness among commercial drivers? A naturalistic driving test study ↗ · 2018 · Wang, Yonggang et al. · indexed
1951. Machine Learning-Based Detection of Driver Distraction by Capacitive Electrocardiogram Signals ↗ · 2024 · Skoric, Tamara et al. · indexed
1952. Experimental investigation on the performance of drowsiness manipulation using driving simulators ↗ · 2016 · Nazeem, K. Masha et al. · indexed
1953. A novel driver fatigue monitoring using optical imaging of face on safe driving system ↗ · 2016 · Tayibnapis, Iman Rahmansyah et al. · indexed
1954. A Preliminary Study for Exploring High-speed Train Driver Fatigue Using Eye-gaze Cue ↗ · 2016 · Yan, Ronghui et al. · indexed
1955. Driving Status' Monitoring and Alarming System Based on Information Fusion Technology ↗ · 2006 · Jin Zhang et al. · indexed
1956. Driver Drowsiness Shield (DDSH): A Real-time Driver Drowsiness Detection System ↗ · 2025 · Bhanja, Archita et al. · indexed
1957. Driver Drowsiness Detection System ↗ · 2024 · M.M., Ranjitha et al. · indexed
1958. Implementation of the Drowsy Driving Prevention System using AI-Based Conversations to Maintain Driver Arousal · 2024 · Noriki Uchida et al. · archived
1959. A collaborative control framework for driver assistance systems ↗ · 2017 · Tran, Duy et al. · indexed
1960. EEG-based Prediction of Driver Takeover Performance · 2024 · Huang, Jinhui et al. · archived
1961. ARM Controller and EEG based Drowsiness Tracking and Controlling during Driving · 2018 · Naresh, B. et al. · archived
1962. HAAR CASCADE ALGORITHM FOR MICROSLEEP DETECTION ↗ · 2025 · Awang, Norkhushaini et al. · indexed
1963. A survey on drowsy driver detection system ↗ · 2017 · Kumari, B.M. Kusuma et al. · indexed
1964. Human Computer Interface Using Electroencephalography for Driver Behavior Classification ↗ · 2019 · Manchala, Vamsi K. et al. · indexed
1965. Classifying driver workload using physiological and driving performance data ↗ · 2014 · Solovey, Erin T. et al. · indexed
1966. Exploring the Brain Responses to Driving Fatigue Through Simultaneous EEG and fNIRS Measurements · 2019 · Lin, Chin-Teng et al. · archived
1967. Karolinska Sleepiness Scale is not Associated with Obstructive Sleep Apnea Severity Indices in Male Taxi Drivers ↗ · 2023 · Çelik, Yeliz · indexed
1968. Characterisation of Cognitive Load Using Machine Learning Classifiers of Electroencephalogram Data · 2023 · Wang, Qi et al. · archived
1969. Smart Driving Application for a Safe Ride- A Comparative Analysis of Drowsiness Detection Methods ↗ · 2021 · Ukey, Manda · indexed
1970. EEG-Based Driver Mental Fatigue Recognition in COVID-19 Scenario Using a Semi-Supervised Multi-View Embedding Learning Model ↗ · 2024 · Gu, Yi et al. · indexed
1971. Proposal of a Cost-Effective and Adaptive Customized Driver Inattention Detection Model Using Time Series Analysis and Computer Vision ↗ · 2024 · Sim, Sangwook et al. · indexed
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1973. Driver Fatigue/Inattention Monitoring Device: An Integrated System for Heavy Trucks ↗ · 2005 · Ferrone, Christopher W. et al. · indexed
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2185. Truck Driver Fatigue Detection Based on Video Sequences in Open-Pit Mines ↗ · 2021 · Wang, Yi et al. · indexed
2186. Driver Fatigue Detection &amp;amp; Collision Avoidance System ↗ · 2026 · Bahendwar, Yogesh et al. · indexed
2187. P072 Predicting vigilance in a shift-work context with under-mattress sensor data from the preceding sleep ↗ · 2022 · Manners, J et al. · indexed
2188. Supervision of a self-driving vehicle unmasks latent sleepiness relative to manually controlled driving ↗ · 2021 · Flynn-Evans, Erin E. et al. · indexed
2189. Multimodal classification of driver glance ↗ · 2017 · Baumann, Daniel et al. · indexed
2190. Driver Drowsiness Detection System using Machine Learning Approaches ↗ · 2025 · Anupriya, Anupriya et al. · indexed
2191. Detection of Vigilance in L3 Autonomous Driving Based on EEG ↗ · 2021 · Zhou, Chancheng et al. · indexed
2192. Web-based Platform for Training in Biomedical Signal Processing and Classification: the Particular Case of EEG-based Drowsiness Detection ↗ · 2018 · Ribeiro, Daniel et al. · indexed
2193. A Distracted Driving Detection Model Based On Driving Performance ↗ · 2023 · Fu, Bingxu et al. · indexed
2194. InstanceEasyTL: An Improved Transfer-Learning Method for EEG-Based Cross-Subject Fatigue Detection · 2020 · Zeng, Hong et al. · archived
2195. Classification of Driver's Cognitive Responses Using Nonparametric Single-trial EEG Analysis ↗ · 2007 · Lin, Chin-Teng et al. · indexed
2196. Crashes and Fatalities Related to Driver Drowsiness/Fatigue ↗ · 1994 · Knipling, R R · indexed
2197. Research on Fatigue Driving Detection Technology Based on CA-ACGAN ↗ · 2024 · Ye, Han et al. · indexed
2198. Driver’s Drowsiness and Alcoholic Intoxication Detection with Image Processing ↗ · 2020 · Sharma, Sumit · indexed
2199. Prevalence of Motor Vehicle Crashes Involving Drowsy Drivers, United States, 2009-2013 · 2014 · AAA Foundation for Traffic Safety · archived
2200. Driver stress level detection using HRV analysis ↗ · 2015 · Munla, Nermine et al. · indexed
2201. Estimation of driver attention using Visually Evoked Potentials ↗ · 2007 · Reddy, B Srinath et al. · indexed
2202. Study on Driver Model Parameters Distribution for Fatigue Driving Levels Based on Quantum Genetic Algorithm ↗ · 2015 · Zhao, ShuanFeng · indexed
2203. Fatigue Driving Prediction on Commercial Dangerous Goods Truck Using Location Data: The Relationship between Fatigue Driving and Driving Environment ↗ · 2020 · Niu, Shifeng et al. · indexed
2204. Predicting Changes in Driving Safety Performance on an Individualized Level Under Naturalistic Driving Conditions · 2019 · Cavuoto, Lora et al. · archived
2205. Sensitivity of driving simulation to sleep deprivation: effect of task duration ↗ · 2025 · Meyer, Morgane et al. · indexed
2206. The Maintenance of Wakefulness Test and Driving Simulator Performance ↗ · 2005 · Banks, Siobhan et al. · indexed
2207. Optimalisasi Arsitektur LSTM dengan Pendekatan Bidirectional untuk Deteksi Kantuk Pengemudi Berbasis Fitur Wajah ↗ · 2025 · Hartono, Andhika Rhaifahrizal et al. · indexed
2208. Driver inattention detection through intelligent analysis of readily available sensors ↗ · 2005 · Torkkola, K. et al. · indexed
2209. Temporal Impact on Cognitive Distraction Detection for Car Drivers using EEG ↗ · 2020 · Schneiders, Eike et al. · indexed
2210. Analysis of Different Measures to Detect Driver States: A Review ↗ · 2019 · Murugan, Suganiya et al. · indexed
2211. Analysis of Subjective Sleepiness Considering the Influences of Driving Workload, Duration between Stations, and Driving Duration in Railway Driving · 2025 · Suzuki, Daisuke et al. · archived
2212. Mental Fatigue Degree Recognition Based on Relative Band Power and Fuzzy Entropy of EEG ↗ · 2023 · Xu, Xin et al. · indexed
2213. Classification of Driver Distraction: A Comprehensive Analysis of Feature Generation, Machine Learning, and Input Measures ↗ · 2019 · McDonald, Anthony D. et al. · indexed
2214. Design and Implementation of a Microcontroller Based Driver Impairment Monitoring System ↗ · 2018 · Jecko, Asad Ali et al. · indexed
2215. Comparative sensitivity of a simulated driving task to self-report, physiological, and other performance measures during prolonged wakefulness ↗ · 2005 · Arnedt, J. Todd et al. · indexed
2216. Impact of Local/Short-Haul Operations on Driver Fatigue: Field Study [TechBrief] · 2001 · NHTSA · archived
2217. AI Based Driver Fattigue and Distraction Detection ↗ · 2025 · Shrutika Bothe et al. · indexed
2218. Visual-Manual Distraction Detection Using Driving Performance Indicators With Naturalistic Driving Data ↗ · 2018 · Li, Zhaojian et al. · indexed
2219. Using a Layered Algorithm to Detect Driver Cognitive Distraction ↗ · 2013 · Liang, Yulan et al. · indexed
2220. Estimate of Driver&amp;#8217;s Fatigue Through Steering Motion ↗ · 2006 · TAKEI, Yasuhito et al. · indexed
2221. EEG-based Assessment of Long-Term Vigilance and Lapses of Attention using a User-Centered Frequency-Tagging Approach · 2024 · Ladouce, S. et al. · archived
2222. Predicting Driver Stress Levels with a Sensor-Equipped Steering Wheel and a Quality-Aware Heart Rate Measurement Algorithm ↗ · 2021 · Cassani, Raymundo et al. · indexed
2223. Deep Learning for Driver Vigilance and Road Safety ↗ · 2024 · Kaushik, Priyanka et al. · indexed
2224. Graph analysis of functional brain network topology using minimum spanning tree in driver drowsiness ↗ · 2018 · Chen, Jichi et al. · indexed
2225. Eye gaze tracking based driver monitoring system ↗ · 2017 · Mavely, Annu George et al. · indexed
2226. Sleepiness in long distance truck driving: an ambulatory EEG study of night driving ↗ · 1993 · KECKLUND, GÖRAN et al. · indexed
2227. The Application of Electroencephalogram in Driving Safety: Current Status and Future Prospects ↗ · 2022 · Peng, Yong et al. · indexed
2228. Delay-Aware Cross-Modal Knowledge Distillation for Driver Vigilance Estimation: Toward Practical Edge Deployment ↗ · 2026 · Sun, Yu et al. · indexed
2229. An EEG monitoring method based on compressed sensing for fatigue driving ↗ · 2024 · Xin, Zengnian · indexed
2230. Universal Driver Alertness and Monitoring System : A Compact, Camera-Based Real-Time Safety System for All Vehicles ↗ · 2025 · Anwar, Muhammad Arsal et al. · indexed
2231. The method of driver fatigue detection in intelligent driving ↗ · 2024 · Liu, Yaqi · indexed
2232. GA-XGBoost Driving Distraction State Classification Model Based on Non-Driving Related Tasks ↗ · 2022 · Bai, Yajie et al. · indexed
2233. Having to stop driving at night because of dangerous sleepiness – awareness, physiology and behaviour ↗ · 2013 · Åkerstedt, TorbjÖrn et al. · indexed
2234. The efficacy of transcranial direct current stimulation effect on vigilance decrement predicted by a fuzzy logic model ↗ · 2025 · XIE, Songyun et al. · indexed
2235. Driver Fatigue Alert System with Intelligent vehicle Control ↗ · 2025 · Udgirkar, Geetanjali et al. · indexed
2236. Neuromorphic Driver Monitoring Systems: A Proof-of-Concept for Yawn Detection and Seatbelt State Detection Using an Event Camera ↗ · 2023 · Kielty, Paul et al. · indexed
2237. Real-Time Driver Vigilance Assessment Using Yolo and Deep Learning ↗ · 2025 · Dept of AD, East West Institute of Technology, Bengaluru et al. · indexed
2238. Hierarchical ordered logistic regression analysis of urban rail transit driver fatigue determinants: impact of emotion regulation and sleep patterns · 2026 · Du, Juanli et al. · archived
2239. Context-Aware Quantitative Risk Assessment Machine Learning Model for Drivers Distraction · 2024 · Fasanmade, Adebamigbe et al. · archived
2240. Classification and Prediction of Driver’s Mental Workload Based on Long Time Sequences and Multiple Physiological Factors ↗ · 2023 · Wei, Wanyu et al. · indexed
2241. Phenomenon of fatigue among professional drivers in Poland · 2020 · Buczaj, Agnieszka et al. · archived
2242. An Auditory Vigilance Task for Mental Fatigue Detection ↗ · 2005 · Pang, Y.Y. et al. · indexed
2243. Awareness of sleepiness when driving ↗ · 2003 · Horne, James A. et al. · indexed
2244. Comprehensive Benchmarking of Attention Enhanced CNNs and Transfer Learning Models for Real Time Driver Drowsiness Detection ↗ · 2026 · Hassan, Osama F. et al. · indexed
2245. Driver Cognitive Distraction Detection Using Driving Performance Measures ↗ · 2012 · Jin, Lisheng et al. · indexed
2246. A LIME-Enhanced SVM Framework for Driver Drowsiness Detection in Nighttime Driving Scenarios ↗ · 2025 · Rahayu, Silvia Indah et al. · indexed
2247. Monitoring Driver Physiological Parameters for Improved Safety ↗ · 2006 · Partin, Dale L. et al. · indexed
2248. Highway driving safety the day after using sleep medication: the direction of lapses and excursions out‐of‐lane in drowsy drivers · 2018 · Verster, Joris C. et al. · archived
2249. Air Traffic Controller Fatigue Detection by Applying a Dual-Stream Convolutional Neural Network to the Fusion of Radiotelephony and Facial Data ↗ · 2024 · Xu, Lin et al. · indexed
2250. Classifying Driver Attention Level Using Logistic Regression and Support Vector Machine ↗ · 2021 · Farhat, Ana et al. · indexed
2251. Cause Analysis of Bus Driver Fatigue Driving Level with DMS Warning-Based Data ↗ · 2024 · Yang, Jun et al. · indexed
2252. Enhancing Road Safety: Deep Learning-Based Intelligent Driver Drowsiness Detection for Advanced Driver-Assistance Systems ↗ · 2024 · Yang, Eunmok et al. · indexed
2253. A Low-Cost IoT Solution for Real-Time Driver Drowsiness Detection using Eye-Blink sensor ↗ · 2025 · Ali Fathima, R Syed et al. · indexed
2254. Lightweight fatigue driving detection method based on improved Yolov8 ↗ · 2024 · Ma, Lei et al. · indexed
2255. On-the-Fly Sleep Scoring Algorithm with Heart Rate, RR Intervals and Accelerometer as Input ↗ · 2025 · Guagnano, Michele et al. · indexed
2256. IoT based Driver Assist System with Application of OpenCV and Python ↗ · 2022 · Jacob, Sona Susan et al. · indexed
2257. Driver Drowsiness Detection Using Convolutional Neural Networks (CNN) ↗ · 2025 · Tirumalasetty, Harika · indexed
2258. On validating a generic camera-based blink detection system for cognitive load assessment · 2023 · Biondi, Francesco N. et al. · archived
2259. Cloud-Based Driver Monitoring System Using a Smartphone ↗ · 2020 · Kashevnik, Alexey et al. · indexed
2260. Wakefulness-Keeping Effect and Driving Safety by Active Action While Driving · 2017 · Ibe, Tatsuro et al. · archived
2261. Temporal patterns of driving fatigue and driving performance among male taxi drivers in Hong Kong: A driving simulator approach ↗ · 2019 · Meng, Fanyu et al. · indexed
2262. EEG analysis for cognitive failure detection in driving using neuro-evolutionary synergism ↗ · 2014 · Saha, Anuradha et al. · indexed
2263. A Real-Time Context-Dependent Driver Attention AssessmentSystem Using Pupil Orientation and Head Posture ↗ · 2025 · Zhang, Weiwei et al. · indexed
2264. Highway Hypnosis Detection and Prevention System ↗ · 2024 · Dutta, Priyam et al. · indexed
2265. Cognitive Aspect of Emotion Estimation of a Driver · 2024 · Luo, Jinshan et al. · archived
2266. Research on driver monitoring system based on vital signs and behavior detection ↗ · 2023 · Chai, Lei · indexed
2267. Driving Fatigue Effects on Cross-Frequency Phase Synchrony Embedding in Multilayer Brain Network ↗ · 2023 · Liu, Shun et al. · indexed
2268. EEG-Driven Classification of Driver Mental Workload in Diverse Environments: A Dual-Branch Network for Efficient In-Vehicle Applications ↗ · 2025 · Liu, Tianqi et al. · indexed
2269. The hazards and prevention of driving while sleepy ↗ · 2003 · MacLean, Alistair W et al. · indexed
2270. Embedded System for Inattention Detection in Driving Task ↗ · 2020 · Castro, Ángel Arturo Rendón et al. · indexed
2271. Driver Drowsiness Detection with Intelligent Traffic and Rest spot Assistance ↗ · 2025 · S, Yoheswari et al. · indexed
2272. Assessing Driver Fatigue as a Factor in Road Accidents ↗ · 2007 · Sirois, William et al. · indexed
2273. Development of a Drowsiness Warning System Based on Heart Rate and Driver Arousal Level for Determining Driving Control Transfer in Autonomous Vehicles ↗ · 2025 · Son, Jung-Kwon et al. · indexed
2274. A Study on Evaluation of Automobile Driver Fatigue Performance ↗ · 2010 · Weng, Maorong · indexed
2275. A Real-Time Vision-Based System for Driver Fatigue and Distraction Monitoring Using a Single In-Cabin RGB Camera ↗ · 2026 · Kareem, Emad · indexed
2276. Design of Driver Fatigue Detection Early Warning System Based on Facial Multi-feature Fusion ↗ · 2024 · Long, Haonan et al. · indexed
2277. Driver monitoring using the in-vehicle camera ↗ · 2019 · Masanovic, Luka et al. · indexed
2278. Motorcoach Driver Fatigue Study 2011 · 2012 · Belenky, Gregory et al. · archived
2279. Can electroencephalography improve road safety? An EEG-based study of driver's perception of traffic light signals in a virtual environment ↗ · 2018 · Hoque, Md. Reshad Ul et al. · indexed
2280. Can electroencephalography improve road safety? An EEG-based study of driver's perception of traffic light signals in a virtual environment ↗ · 2018 · Tcheslavski, Gleb V. et al. · indexed
2281. Age-Related Effect of Sleepiness on Driving Performance: A Systematic-Review ↗ · 2021 · Scarpelli, Serena et al. · indexed
2282. Behavioural Reactivation and Subjective Assessment of the State of Vigilance—Application to Simulated Car Driving ↗ · 2006 · Bonnefond, Anne et al. · indexed
2283. A Novel CWT-CNN Framework for Driver Fatigue Detection from EEG Signals ↗ · 2025 · Sadeque, Md. Golam et al. · indexed
2284. Owl and Lizard: Patterns of Head Pose and Eye Pose in Driver Gaze Classification · 2015 · Fridman, Lex et al. · archived
2285. Concurrent Model for Three Negative Emotions Using Heart Rate Variability in a Driving Simulator Environment ↗ · 2020 · Adha, Muhammad Shaufil et al. · indexed
2286. Evaluation and Visualization of Driver Inattention Rating From Facial Features ↗ · 2020 · Dua, Isha et al. · indexed
2287. Multimodal Sensing and Computational Intelligence for Situation Awareness Classification in Autonomous Driving ↗ · 2023 · Liang, Nade et al. · indexed
2288. FFTNet: fNIRS-based frequency-enhanced patch network for driving fatigue detection ↗ · 2026 · Li, Yu et al. · indexed
2289. How to Induce Drowsiness When Testing Driver Drowsiness and Attention Warning (DDAW) Systems ↗ · 2023 · Wörle, Johanna et al. · indexed
2290. Behavior Evaluation Based on Electroencephalograph and Personality in a Simulated Driving Experiment · 2019 · Ding, Changhao et al. · archived
2291. Validation of sleep-2-Peak: A smartphone application that can detect fatigue-related changes in reaction times during sleep deprivation ↗ · 2016 · Brunet, Jean-François et al. · indexed
2292. Driver Alertness and Awareness Monitoring System ↗ · 2023 · Raja, Vedanth et al. · indexed
2293. EEG-Based Mental States Prediction of Driver ↗ · 2025 · Dwivedi, Amit Kumar et al. · indexed
2294. Awareness of sleepiness: Temporal dynamics of subjective and objective sleepiness ↗ · 2021 · Manousakis, Jessica E. et al. · indexed
2295. Driver Alertness System using Deep Learning, MQ3 and Computer Vision ↗ · 2020 · Raorane, Aashreen et al. · indexed
2296. An alpha wave pattern from attenuation to disappearance for predicting the entry into sleep during simulated driving ↗ · 2017 · Jiao, Yingying et al. · indexed
2297. Detecting Driving Fatigue of Indirect Vision Driving Based on Electroencephalogram ↗ · 2013 · Liu, Chang et al. · indexed
2298. The impact of alcohol consumption on commercial eye blink drowsiness detection technology ↗ · 2023 · Cori, Jennifer M. et al. · indexed
2299. The impact of secondary tasks on drivers during naturalistic driving: Analysis of EEG dynamics ↗ · 2016 · Alizadeh, Vahid et al. · indexed
2300. Study of Steering Wheel Movement under Fatigue Driving and Drunk Driving Based on Sample Entropy ↗ · 2015 · Li, Zhen Long et al. · indexed
2301. A Survey of EEG-Based Driver State and Behavior Detection for Intelligent Vehicles ↗ · 2024 · Ju, Jiawei et al. · indexed
2302. HARMONY: A Human-Centered Multimodal Driving Study in the Wild · 2021 · Tavakoli, Arash et al. · archived
2303. Vehicle Safety Speed Controller under Driver Fatigue Using Eye Blink Sensor ↗ · 2017 · M, Chandra Mohan et al. · indexed
2304. Eyeblink detection for wearable eye trackers in real-world environments ↗ · 2026 · Nishizono, Ryota et al. · indexed
2305. Fusion-Drive AI: A Real-Time Multimodal Driver and Road Monitoring System ↗ · 2026 · Umasankar, G. · indexed
2306. A multimodal physiological dataset for driving behaviour analysis · 2024 · Tao, Xiaoming et al. · archived
2307. The slope of performance during the psychomotor vigilance task: an additional indicator in the assessment of hypersomnolence? ↗ · 2023 · Evangelista, Elisa · indexed
2308. Performance Male and Female Drivers in Drowsiness System Based on Psychomotor Vigilance Task Test · 2018 · Theresia Br. Pasaribu, Novie et al. · archived
2309. Subjective sleepiness is a sensitive indicator of insufficient sleep and impaired waking function ↗ · 2014 · Åkerstedt, Torbjörn et al. · indexed
2310. Fatigue Modelling in Truck Drivers Transporting Liquefied Gas Cylinders Using the Psychomotor Vigilance Test (PVT) and Karolinska Sleepiness Scale (KSS) ↗ · 2024 · Syaifullah, Danu Hadi et al. · indexed
2311. Research on Distracted and Fatigue-Related Driving Behavior Detection Based on YOLOv12-LAD ↗ · 2026 · Liu, Xiyao et al. · indexed
2312. Real-Time Driver Drowsiness Detection Using Images ↗ · 2023 · Jadhavar, Prof. Poonam · indexed
2313. An Emotion Classification Model for Driver Emotion Recognition Using Electroencephalography (EEG) ↗ · 2022 · Gamage, T. A. et al. · indexed
2314. Remote Tower Air Traffic Controller Multimodal Fatigue Detection ↗ · 2026 · Pan, Weijun et al. · indexed
2315. Comparative Prefrontal Multimodal Physiological Signatures Under Active- and Passive-Fatigue-Inducing Simulated Driving Paradigms. ↗ · 2026 · Zhang, F et al. · indexed
2316. EWMA based classification of driver state ↗ · 2011 · Naumov, Valeriy · indexed
2317. Brain Complex Network Characteristic Analysis of Fatigue during Simulated Driving Based on Electroencephalogram Signals ↗ · 2019 · Han, Chunxiao et al. · indexed
2318. The effect of daylight versus darkness on driver sleepiness: a driving simulator study ↗ · 2018 · Ahlström, Christer et al. · indexed
2319. Comparative Analysis of Deep Learning Architectures for Real-Time Driver Distraction Classification: Spatial, Temporal, and Attention-Based Approaches ↗ · 2026 · Seong, Younho et al. · indexed
2320. 095 Steering Wheel Angle Excursions as a Measure of Fatigue-Related Driver Performance Impairment ↗ · 2021 · Muck, Rachael et al. · indexed
2321. Recognition of drivers' mental workload in simulated driving using EEG signals from different brain regions and machine learning algorithms ↗ · 2025 · Huang, Jiaqi et al. · indexed
2322. Real-Time Driver Cognitive Workload Recognition: Attention-Enabled Learning With Multimodal Information Fusion ↗ · 2024 · Yang, Haohan et al. · indexed
2323. An Eye-Fixation Related Electroencephalography Technique for Predicting Situation Awareness: Implications for Driver State Monitoring Systems ↗ · 2023 · Liang, Nade et al. · indexed
2324. The Effects of Sleep Deprivation on Simulator Driving as Compared with Other Psychomotor Tests George ↗ · 2007 · Park, D et al. · indexed
2325. Fatigue States are Multidimensional: Evidence from Studies of Simulated Driving ↗ · 2007 · Saxby, Dyani et al. · indexed
2326. Cost-efficient driver state and road conditions monitoring system for conditional automation ↗ · 2017 · Allamehzadeh, Arman et al. · indexed
2327. Development of Wireless Brain Computer Interface With Embedded Multitask Scheduling and its Application on Real-Time Driver's Drowsiness Detection and Warning ↗ · 2008 · Lin, Chin-Teng et al. · indexed
2328. Driver Tracking in Automotive Environment Using Mobile Thermal Camera ↗ · 2025 · Stoyanov, Yordan · indexed
2329. A monitoring method of driver mouth behavior based on machine vision ↗ · 2004 · Chu Jiangwei et al. · indexed
2330. Driver’s Drowsiness Detection System ↗ · 2023 · Raut, Omkar · indexed
2331. Prevalence of Fatigue and Its Determinants among Chemical Transportation Drivers in Chonburi · 2017 · Phatrabuddha, Sujee et al. · archived
2332. A Novel Semi-Dry Electrode Suitable for Collecting EEG Data for Detecting Driving Fatigue in Long-Period Driving Case ↗ · 2023 · Wang, Fuwang et al. · indexed
2333. A National Sleep Foundation's Conference Summary: The National Summit to Prevent Drowsy Driving and a New Call to Action · 2005 · Drobnich, Darrel · archived
2334. EEG-based assessment of long-term vigilance and lapses of attention using a user-centered frequency-tagging approach · 2025 · Ladouce, S et al. · archived
2335. Analysis of Head Micromovements and Body Posture for Vigilance Decrement Assessment · 2024 · Rossi, Dario et al. · archived
2336. What's on your mind? A Mental and Perceptual Load Estimation Framework towards Adaptive In-vehicle Interaction while Driving · 2022 · Gomaa, Amr et al. · archived
2337. Dynamic Reorganization of Functional Connectivity Unmasks Fatigue Related Performance Declines in Simulated Driving ↗ · 2020 · Wang, Hongtao et al. · indexed
2338. Human Confusion Recognition Techniques: Measurements, Algorithms, and Future Research Directions for Automated Driving ↗ · 2026 · Huo, Hao et al. · indexed
2339. Reliability of EEG Measures in Driving Fatigue ↗ · 2022 · Harvy, Jonathan et al. · indexed
2340. Probability of Detection (POD)-based Metric for Evaluation of Classifiers Used in Driving Behavior Prediction · 2019 · Ameyaw, Daniel Adofo et al. · archived
2341. Design and Implementation of an IoT Drowsiness Detection System for Drivers ↗ · 2023 · KALLEL, Fathi · indexed
2342. Algorithm for Distracted Driver Detection and Alert Using Deep Learning ↗ · 2021 · Ankit Pal et al. · indexed
2343. Research on Maximum Driving Time Based on Driving Fatigue Model from Field Experiment ↗ · 2019 · Zhang, Qi et al. · indexed
2344. Nonintrusive Detection of Driver Cognitive Distraction in Real Time Using Bayesian Networks ↗ · 2007 · Liang, Yulan et al. · indexed
2345. EEG-Based Drivers Mental Fatigue Detection Using ERD/ERS and Hurst Exponent ↗ · 2022 · González-Rodríguez, Diana Guadalupe et al. · indexed
2346. Prospects for technological countermeasures against driver fatigue ↗ · 1997 · Brown, Ivan D. · indexed
2347. Detection of driver manual distraction via image-based hand and ear recognition · 2020 · Li, Li et al. · archived
2348. Physiological Signals as Predictors of Cognitive Load Induced by the Type of Automotive Head-Up Display ↗ · 2023 · Strle, Gregor et al. · indexed
2349. Towards Intelligent Data Analytics: A Case Study in Driver Cognitive Load Classification ↗ · 2020 · Barua, Shaibal et al. · indexed
2350. Detection and Alleviation of Driving Fatigue Based on EMG and EMS/EEG Using Wearable Sensor ↗ · 2015 · Wang, Hong · indexed
2351. Dual-Flow Driver Distraction Driving Detection Model Based on Sobel Edge Detection ↗ · 2026 · Qin, Binbin et al. · indexed
2352. Smart Alarm Driver Assistance as an Early Warning of Drowsiness Drivers Based on Raspberry pi 4 Model B ↗ · 2025 · Dwi Prasetyo, Achmad Arif et al. · indexed
2353. Attention-based cross-frequency graph convolutional network for driver fatigue estimation ↗ · 2024 · An, Jianpeng et al. · indexed
2354. Recurrent Neural Network with Tunicate Swarm Optimization and Shift Delta Cepstrum for Automated Driver Health Monitoring System ↗ · 2024 · Arif, M. K. et al. · indexed
2355. Sleepiness of Occupational Drivers · 2005 · Philip, Pierre · archived
2356. Individual Susceptibility to Vigilance Decrement in Prolonged Assisted Driving Revealed by Alert-State Wearable EEG Assessment ↗ · 2023 · Seet, Manuel et al. · indexed
2357. A Deep Learning Approach to Detect Sustained Attention in Real-Time Using EEG Signals ↗ · 2021 · Tiwari, Aarushi et al. · indexed
2358. Comprehensive Driver State Recognition Based on Deep Learning and PERCLOS Criterion ↗ · 2019 · Hu, Hexuan et al. · indexed
2359. Heart rate measures reflect the interaction of low mental workload and fatigue during driving simulation ↗ · 2012 · Trutschel, Udo et al. · indexed
2360. Countermeasures to Loss of Alertness in Motor Vehicle Drivers: A Taxonomy and Evaluation ↗ · 1991 · Mackie, Robert R. et al. · indexed
2361. A Review on Driver Drowsiness Detection Systems Using Image Processing and AI Techniques ↗ · 2025 · Sanket Badave et al. · indexed
2362. Eye-Tracking Indices of Cognitive Load Predict Reaction Time to Urban Traffic Hazards: Machine Learning Classification and Regression Across Manual and Level 2 Assisted Driving ↗ · 2026 · Qin, Hao et al. · indexed
2363. Assessing drivers’ psychophysiological states using heart rate, electrodermal activity, and pupillometry in real-world driving ↗ · 2025 · Bosurgi, Gaetano et al. · indexed
2364. Applying support vector machine on hybrid fNIRS/EEG signal to classify driver's conditions (Conference Presentation) ↗ · 2016 · Nguyen, Thien et al. · indexed
2365. Research on Classification of Driving Fatigue Brain Regions Under Human Machine Co-Driving Based on Time-Frequency Domain EEG Features ↗ · 2024 · Li, Yan et al. · indexed
2366. Enhancing Road Safety through Deep Learning Approach for Driver Distraction and Drowsiness Detection ↗ · 2026 · Shenbagaraman, Madhumita et al. · indexed
2367. Analysis of Causal Factor of Driver Fatigue in the Driving in Different Driving Conditions ↗ · 2024 · Adachi, Masataka et al. · indexed
2368. Functional near-infrared spectroscopy (fNIRS) and Eye tracking for Cognitive Load classification in a Driving Simulator Using Deep Learning · 2024 · Khan, Mehshan Ahmed et al. · archived
2369. Road Vehicle Automation and Its Effects on Fatigue, Sleep, Rest, and Recuperation ↗ · 2023 · Ahlström, Christer et al. · indexed
2370. Vigilance monitoring for operator safety: A simulation study on highway driving ↗ · 2006 · Desai, A.V. et al. · indexed
2371. AI and Mobile Technologies for Driver Fatigue Detection: Sex Differences Revealed by Eye-Tracking Metrics ↗ · 2025 · Bend, Julia et al. · indexed
2372. Counteracting driver fatigue in the context of conditional automated driving: an individualized and overarching approach ↗ · 2026 · Loew, Alexandra et al. · indexed
2373. Driver Inattention Monitoring System: A Review ↗ · 2019 · Ahir, Archana et al. · indexed
2374. Application of Filter Bank to Improve Fatigue Monitoring in Wearable EEG-Based Brain–Computer Interface ↗ · 2026 · Tan, Timothy Jern Yu et al. · indexed
2375. Development of a Real-time System for Detecting Driver"s Cognitive Load using Multi-Layer Artificial Neural Network on ECG Signals ↗ · 2020 · Tjolleng, Amir et al. · indexed
2376. Fatigue Driving Characteristics Analysis Based on Data of Driver Monitoring System ↗ · 2020 · Kang, Zhen et al. · indexed
2377. Validation of a Light EEG-Based Measure for Real-Time Stress Monitoring during Realistic Driving · 2022 · Sciaraffa, Nicolina et al. · archived
2378. Brain Electrodynamic and Hemodynamic Signatures Against Fatigue During Driving ↗ · 2018 · Chuang, Chun-Hsiang et al. · indexed
2379. Application of S-transform to driving fatigue in EEG analysis ↗ · 2010 · Lingmei Ai et al. · indexed
2380. Driver arousal and workload under partial vehicle automation: A pilot study · 2020 · Lohani, M et al. · archived
2381. Optical Interpretation to Recognize Bus Driver Fatigue ↗ · 2019 · Amreen, Asfiya · indexed
2382. Driver EEG Attention Monitoring Based on Wavelet Packet Decomposition and BiLSTM ↗ · 2026 · Wang, Qiuyun et al. · indexed
2383. Excessive daytime sleepiness in obstructive sleep apnea: implications for driving licenses ↗ · 2019 · Garbarino, Sergio · indexed
2384. EEG-based analysis of human driving performance in turning left and right using Hopfield neural network · 2013 · Taghizadeh-Sarabi, Mitra et al. · archived
2385. Multimodal Driver Condition Monitoring System Operating in the Far-Infrared Spectrum ↗ · 2024 · Knapik, Mateusz et al. · indexed
2386. Detecting fatigued drivers with vehicle simulators ↗ · 2019 · Stein, Anthony C. · indexed
2387. A non-rigid motion estimation algorithm for yawn detection in human drivers ↗ · 2009 · Mohanty, Mihir et al. · indexed
2388. Gaze position modulates the effectiveness of forward collision warnings for drowsy drivers ↗ · 2019 · Gaspar, John G. et al. · indexed
2389. An EEG-Based Transfer Learning Method for Cross-Subject Fatigue Mental State Prediction · 2021 · Zeng, Hong et al. · archived
2390. Personalized Driver Workload Estimation Using Deep Neural Network Learning From Physiological and Vehicle Signals ↗ · 2020 · Xie, Yongquan et al. · indexed
2391. Safe driving by detecting lane discipline and driver drowsiness ↗ · 2014 · Katyal, Yashika et al. · indexed
2392. Real-Time Driver Alertness Assessment Using Neural Networks ↗ · 2025 · M, Yoga et al. · indexed
2393. An Intelligent Camera-Based Contactless Driver Stress State Monitoring Using Multimodality Fusion ↗ · 2025 · J, Swarubini P et al. · indexed
2394. “Did you fall asleep?” – Younger and older drivers’ recollection of prior sleepiness while driving ↗ · 2024 · Cai, Anna W.T. et al. · indexed
2395. Android OpenCV based effective driver fatigue and distraction monitoring system ↗ · 2015 · Manoharan, R. et al. · indexed
2396. An new algorithm for analyzing driver's attention state ↗ · 2009 · Keyou Guo et al. · indexed
2397. Classifying attentional vulnerability to total sleep deprivation using baseline features of Psychomotor Vigilance Test performance ↗ · 2019 · Chua, Eric Chern-Pin et al. · indexed
2398. Detection of driver stress in real-world driving environment using physiological signals ↗ · 2019 · Wang, Ke et al. · indexed
2399. Prediction of driver alertness levels on mountain roads using machine learning models: A naturalistic driving study in China ↗ · 2025 · Liu, Tong et al. · indexed
2400. DDD TinyML: A TinyML-Based Driver Drowsiness Detection Model Using Deep Learning ↗ · 2023 · Alajlan, Norah N. et al. · indexed
2401. Smart Driver Monitoring: When Signal Processing Meets Human Factors: In the driver's seat ↗ · 2016 · S. Aghaei, Amirhossein et al. · indexed
2402. The impact of sleep loss on sustained and transient attention: an EEG study · 2020 · Shenfield, Lucienne et al. · archived
2403. “Fitting Data”: A Case Study on Effective Driver Distraction State Classification ↗ · 2019 · Zhang, Yu et al. · indexed
2404. Thermal imaging for the detection of driver impairment: evidence from a high-fidelity driving simulator study · 2026 · Göbel, Jan-Philipp et al. · archived
2405. Detection of the Driver’s Mental Workload Level in Smart and Autonomous Systems Using Physiological Signals ↗ · 2022 · Wang, Dan et al. · indexed
2406. Driver Head Posture Monitoring using MEMS Magnetometer and Neural Network for Long-distance Driving Fatigue Analysis ↗ · 2019 · Han, Hobeom et al. · indexed
2407. Classifying Drivers' Cognitive Load Using EEG Signals ↗ · 2017 · Barua Shaibal et al. · indexed
2408. A Microcontroller based Car-Safety System: Implementing Drowsiness Detection and Eye Blink Detection in Parallel ↗ · 2019 · P, Anantha Raman · indexed
2409. Evaluating Pro- and Re-Active Driving Behavior by Means of the EEG · 2018 · Wascher, Edmund et al. · archived
2410. A Systematic Review of In-Vehicle Physiological Indices and Sensor Technology for Driver Mental Workload Monitoring · 2023 · Sriranga, Ashwini Kanakapura et al. · archived
2411. Arduino based real time driver drowsiness detection and mobile alert system using bluetooth ↗ · 2016 · Mangalore Institute of Technology & Engineering, M.Tech Mechatronics, Moodbidri, Karnataka et al. · indexed
2412. Study on effect of adding pupil diameter as recognition features for driver's cognitive distraction detection ↗ · 2010 · Miyaji, Masahiro et al. · indexed
2413. Real-time monitoring of driver cognitive states: linking driving behavior to neural oscillations ↗ · 2026 · Alyan, Emad et al. · indexed
2414. Driver Drowsiness Detection with Smart IoTEnabled Edge-Cloud Computing ↗ · 2025 · Kadirvelu, G et al. · indexed
2415. Fatigue Driving Detection System Based on the Optimized YOLOv8 with BiFormer Attention Mechanism ↗ · 2025 · Lin, Haoxiang · indexed
2416. Driver Monitoring System Based on Gaze Classification by Using Eye Center Location Recognition ↗ · 2018 · Lee, Juyong et al. · indexed
2417. Driver Activity Recognition Using Deep Learning and Human Pose Estimation ↗ · 2021 · Cetinkaya, Mert et al. · indexed
2418. Viability of Cardiac Parameters Measured Unobtrusively Using Capacitive Coupled Electrocardiography (cECG) to Estimate Driver Performance ↗ · 2019 · Bhardwaj, Rahul et al. · indexed
2419. Wavelet Packet Transform Based Driver Distraction Level Classification Using EEG ↗ · 2013 · Wali, Mousa Kadhim et al. · indexed
2420. Driver Drowsiness and Distraction Detection: An Image Processing-Based Comparative Analysis for Improved Accuracy ↗ · 2024 · Dattatray G. Takale · indexed
2421. Comprehensive system for the evaluation of the attention level of a driver ↗ · 2016 · Pullano, S. A. et al. · indexed
2422. Pre-duty testing technology for fatigue driving based on reaction time measurement method ↗ · 2023 · Lin, Xiaoyang et al. · indexed
2423. Pupillometry in Driver Workload Assessment: Opportunities and Challenges ↗ · 2025 · Bosurgi, Gaetano et al. · indexed
2424. Construction of models for predicting arousal level in advance based on features of face images ↗ · 2022 · Mekata, Yuki et al. · indexed
2425. Efficacy and feasibility of a breath sensor for detecting driver fatigue and drowsiness ↗ · 2024 · Schulman, Carl I. et al. · indexed
2426. Technologies for Risk Mitigation and Support of Impaired Drivers ↗ · 2022 · Ahlstrom, Christer et al. · indexed
2427. Modeling and Detecting Aggressiveness From Driving Signals ↗ · 2014 · Gonzalez, Ana Belen Rodriguez et al. · indexed
2428. Introducing a Novel Fast Neighbourhood Component Analysis–Deep Neural Network Model for Enhanced Driver Drowsiness Detection ↗ · 2025 · Al-Gburi, Sama Hussein et al. · indexed
2429. Correlation between driving errors and vigilance level: influence of the driver's age ↗ · 2004 · Campagne, Aurelie et al. · indexed
2430. Enhancement of ADAS with Driver-Specific Gaze Profiling Algorithm—Pilot Case Study ↗ · 2025 · Gogola, Marián et al. · indexed
2431. Cognitive Workload Estimation in Conditionally Automated Vehicles Using Transformer Networks Based on Physiological Data · 2024 · Wang, Ange et al. · archived
2432. Detection of Drivers’ Anxiety Invoked by Driving Situations Using Multimodal Biosignals ↗ · 2020 · Lee, Seungji et al. · indexed
2433. Effects of Driver Fatigue Monitoring – An Expert Survey · 2007 · Karrer, Katja et al. · archived
2434. Drivers’ misjudgement of vigilance state during prolonged monotonous daytime driving ↗ · 2009 · Schmidt, Eike A. et al. · indexed
2435. Drowsiness Detection System: Integrating YOLOv5 Object Detection with Arduino Hardware for Real-Time Monitoring ↗ · 2024 · S S, Prof. Balwante et al. · indexed
2436. Stress Level Detection Based on the Capacitive Electrocardiogram Signals of Driving Subjects ↗ · 2023 · Škorić, Tamara · indexed
2437. Feigning daytime sleepiness: potential effects on the psychomotor vigilance test ↗ · 2023 · Mariano, Christianna et al. · indexed
2438. Beyond Detection: Intervention Approaches in Driver State Monitoring Systems ↗ · 2023 · Motnikar, Lenart et al. · indexed
2439. EEG-Based Assessment of Driver Cognitive Responses in a Dynamic Virtual-Reality Driving Environment ↗ · 2007 · Chin-Teng Lin et al. · indexed
2440. Age and gender comparisons of driving while sleepy: Behaviours and risk perceptions · 2011 · Obst, Patricia et al. · archived
2441. Can we predict driver distraction without driver psychophysiological state? ↗ · 2019 · de Salis, Emmanuel et al. · indexed
2442. Hybrid EEG Signal Processing Framework for Driver Drowsiness Detection Using QWT, EMD, and Bayesian Optimized SVM ↗ · 2025 · Sardesai, Shilpa et al. · indexed
2443. Classification of Human Driver Distraction Using 3D Convolutional Neural Networks ↗ · 2023 · Kwakye, Kelvin et al. · indexed
2444. Driver's cognitive distraction detection using physiological features by the adaboost ↗ · 2009 · Miyaji, Masahiro et al. · indexed
2445. A Study on the Effects of Fatigue Driving and Drunk Driving on Drivers’ Physical Characteristics ↗ · 2014 · Zhang, Xingjian et al. · indexed
2446. Validity Evaluations of On-Line Driver Modeling and State Assessment ↗ · 2007 · Chen, Liang-Kuang et al. · indexed
2447. Subjective and predicted sleepiness while driving in young adults ↗ · 2005 · Smith, Simon et al. · indexed
2448. Predicting Operator Workload from Oculometric Data in High-Demand Environments: A Case Study with MATB-II · 2025 · Pogliano, Marco et al. · archived
2449. Driver Glance Behavior Modeling Based on Semi-Supervised Clustering and Piecewise Aggregate Representation ↗ · 2022 · Huang, Jianling et al. · indexed
2450. Effect of Driving Duration and Work Schedules on Vigilance Level and Driving Performance of Bus Drivers ↗ · 2013 · Pei, Yu Long et al. · indexed
2451. Real Time Drowsy Driver Monitoring and Detection System Using Deep Learning Based Behavioural Approach ↗ · 2021 · Kekong, P.E. et al. · indexed
2452. Effects of vibration on occupant driving performance under simulated driving conditions ↗ · 2017 · Azizan, Mohd Amzar et al. · indexed
2453. Effects of adopting voice assistants countermeasures on alerting drowsy drivers across age ↗ · 2025 · Zhang, Wei et al. · indexed
2454. Evaluation on induction of driver fatigue in driving different traffic condition: An EEG study ^* ↗ · 2023 · Adachi, Masataka et al. · indexed
2455. Real-Time Driver Gaze Direction Detection Using the 3D Triangle Model and Neural Networks ↗ · 2013 · Cheng, Wen-Chang et al. · indexed
2456. Fatigue, sleep restriction and driving performance ↗ · 2005 · Philip, Pierre et al. · indexed
2457. Commercial Truck Driver Fatigue, Alertness, and Countermeasures Survey · 1999 · NHTSA · archived
2458. Driver Drowsiness Detection Based on Eye Blinking Using Convolutional Neural Network Approach ↗ · 2025 · Kumar, Mithun et al. · indexed
2459. Real-Time Driver Drowsiness Detection Using ViViT for In-Vehicle Monitoring Systems Under Diverse Driving Conditions ↗ · 2025 · Nurnaningsih, Desi et al. · indexed
2460. A Study of Prevalence of Sleep Apnea Among Commercial Truck Drivers [Final Report] · 2002 · Pack, Allan I. et al. · archived
2461. HATNet: EEG-Based Hybrid Attention Transfer Learning Network for Train Driver State Detection ↗ · 2025 · Lin, Shuxiang et al. · indexed
2462. Driving assistance using smartdevices ↗ · 2014 · Buscarino, Arturo et al. · indexed
2463. Human–Machine Shared Control for Path Following Considering Driver Fatigue Characteristics ↗ · 2024 · Fang, Zhenwu et al. · indexed
2464. Evaluation of mental workload during automobile driving using one-class support vector machine with eye movement data ↗ · 2020 · Chihara, Takanori et al. · indexed
2465. Neurophysiological Vigilance Characterisation and Assessment: Laboratory and Realistic Validations Involving Professional Air Traffic Controllers · 2020 · Sebastiani, Marika et al. · archived
2466. Driver&amp;#x2019;s cognitive distraction detection using AdaBoost on pattern recognition basis ↗ · 2008 · Miyaji, Masahiro et al. · indexed
2467. Driving distraction detection based on gaze activity ↗ · 2021 · Zhang, Yingji et al. · indexed
2468. Validation of a Portable, Touch-Screen Psychomotor Vigilance Test ↗ · 2015 · Honn, Kimberly A. et al. · indexed
2469. OPTIMIZATION OF REAL TIME DRIVER FATIGUE DETECTION AND ALERT SYSTEM USING ARDUINO NAN ↗ · 2025 · Hitanshu Saluja · indexed
2470. Optimization Algorithm for Driver Monitoring System using Deep Learning Approach ↗ · 2020 · Yoo, Min Woo et al. · indexed
2471. A Systematic Literature Review of Driver Inattention Monitoring Systems for Smart Car ↗ · 2022 · Soultana, Abdelfettah et al. · indexed
2472. Detection of human drowsiness by the vestibulo-ocular reflex compensating for heartbeat-induced head perturbations ↗ · 2024 · Yamanaka, Toshimi et al. · indexed
2473. An Interpretable Audio Intelligence Framework for Driver Vigilance Using WavLM-Based Deep Representations · 2026 · Kola Rishika et al. · archived
2474. Attention-Enhanced Deep Learning Models for EEG-Based Driver Drowsiness Detection ↗ · 2025 · S, Shymala Gowri et al. · indexed
2475. A hybrid Bayesian Network approach to detect driver cognitive distraction ↗ · 2014 · Liang, Yulan et al. · indexed
2476. The Thresholds of Greening Unit Serving Set as an Arousal Task Based on EEG and Eye Movement · 2021 · ZHANG, Yu-Le et al. · archived
2477. Predicting road crashes from a mathematical model of alertness regulation—The Sleep/Wake Predictor ↗ · 2008 · Åkerstedt, Torbjörn et al. · indexed
2478. SAFECAR: A Brain–Computer Interface and intelligent framework to detect drivers’ distractions ↗ · 2022 · Martínez Beltrán, Enrique Tomás et al. · indexed
2479. Driver Safety System using Arduino ↗ · 2023 · Shiny, G. Susan et al. · indexed
2480. How to Counteract Driver Fatigue during Conditional Automated Driving—A Systematic Review ↗ · 2024 · Loew, Alexandra et al. · indexed
2481. EEG based driver cognitive distraction assessment ↗ · 2014 · Almahasneh, Hossam S. et al. · indexed
2482. Advancements in the Intelligent Detection of Driver Fatigue and Distraction: A Comprehensive Review ↗ · 2024 · Fu, Shichen et al. · indexed
2483. Multimodal driver state modeling through unsupervised learning ↗ · 2022 · Tavakoli, Arash et al. · indexed
2484. Psychomotor Vigilance Test and Epworth Sleepiness Scale in Participants being Evaluated for Sleep Disorders ↗ · 2025 · Schwab, Allison et al. · indexed
2485. Blink-related EEG activity measures cognitive load during proactive and reactive driving · 2023 · Alyan, Emad et al. · archived
2486. An Adaptive-Duration Version of the PVT Accurately Tracks Changes in Psychomotor Vigilance Induced by Sleep Restriction ↗ · 2012 · Basner, Mathias et al. · indexed
2487. Lightweight Skeleton-Based Driver Distraction Detection Using Geometric Features and Subject-Independent Learning ↗ · 2026 · Abakar, Abakar Abbas et al. · indexed
2488. EEG-Based Attention Tracking During Distracted Driving ↗ · 2015 · Wang, Yu-Kai et al. · indexed
2489. EEG-based Negative Emotion Classification while Self Driving in a Simulated Environment · 2026 · Abd Halin, Abdul Hafiz et al. · archived
2490. AN INTELLIGENT CO-DRIVER SURVEILLANCE SYSTEM · 2017 · Rothkrantz, Léon et al. · archived
2491. Deep Learning and Dynamical Modeling Frameworkfor EEG-Based Cognitive State Evolution inBrain-Computer Interfaces · 2026 · Umair, Muhammad Khurram et al. · archived
2492. Validation of <scp>OSLER</scp> Test Against Maintenance of Wakefulness Test and the Association With Subjective Measures of Sleepiness ↗ · 2025 · Huhta, Riikka et al. · indexed
2493. Real-Time Workload Classification during Driving using HyperNetworks ↗ · 2018 · Wang, Ruohan et al. · indexed
2494. A hybrid machine learning and IoT system for driver fatigue monitoring in connected electric vehicles ↗ · 2026 · AlHousrya, Obaida et al. · indexed
2495. CNN-ViT: A multi-feature learning based approach for driver drowsiness detection ↗ · 2025 · Venkateswarlu, Madduri et al. · indexed
2496. Cognitive Workload Estimation through Lateral Driving Performance ↗ · 2011 · Son, Joonwoo et al. · indexed
2497. Sound as a Countermeasure against Driving Fatigue Based on ECG ↗ · 2010 · Zhao, Xiaohua et al. · indexed
2498. Real-Time Driver Drowsiness and Distraction Detection Using Google ML Kit on Android Platforms ↗ · 2025 · Sharma, Shilpy et al. · indexed
2499. Implementation of a psychomotor vigilance test to investigate the effects of driving fatigue on oil and gas truck drivers’ performance ↗ · 2023 · Al-Mekhlafi, Al-Baraa Abdulrahman et al. · indexed
2500. A new deep learning model based on convolutional neural network and residual blocks for driver drowsiness detection ↗ · 2025 · Soultana, Abdelfettah et al. · indexed
2501. Towards Safer Roads: A Lightweight Behavioural Monitoring System for Real-Time Driver Sleep Detection ↗ · 2025 · Tomar, Abhinav et al. · indexed
2502. An investigation of pre-stimulus eeg for prediction of driver reaction time ↗ · 2025 · Ur Rahman, Shams et al. · indexed
2503. Driver Drowsiness Detection using CNN with attention mechanism of Transformer model ↗ · 2024 · Shukla, Vivek et al. · indexed
2504. Raspberry Pi-Based Driver Tiredness Monitoring and Alerting System for Truck ↗ · 2025 · Patil, Miss. Shital Amar et al. · indexed
2505. The Interaction Between Highly Automated Driving and the Development of Drowsiness ↗ · 2015 · Schömig, Nadja et al. · indexed
2506. Adaptive Multi-Temporal Fusion and Cross-Modal Adversarial Alignment for Robust Driver Fatigue Detection ↗ · 2026 · Feng, Yanqiao et al. · indexed
2507. Sleep Inertia Countermeasures in Automated Driving: A Concept of Cognitive Stimulation ↗ · 2020 · Wörle, Johanna et al. · indexed
2508. Multi-Emotion Features Extraction for Driver Distraction Detection ↗ · 2024 · Chen, Sheng-Tao et al. · indexed
2509. Fusing lightweight Retinaface network for fatigue driving detection ↗ · 2024 · Zhiqin, Wang · indexed
2510. Driver state examination—Treading new paths ↗ · 2016 · Wascher, Edmund et al. · indexed
2511. Driver Assistance System for Stress Recognition by Handcrafted Feature Extraction and Convolutional Neural Network ↗ · 2024 · Vaezi, Mahtab et al. · indexed
2512. 0186 Drowsy Driving In Student Athletes: Impact of Insomnia, Sleepiness, and Mood ↗ · 2018 · Tang, R et al. · indexed
2513. Enhanced Driver Drowsiness Detection Using Deep Multi-Scale Convolutional Neural Network ↗ · 2025 · Ahamed, B Ajmal et al. · indexed
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2517. Deep InSight: A Driver-State Estimation Platform for Processing Naturalistic Driving Data · 2024 · Sharma, Anuj et al. · archived
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2519. Driving performance and EEG fluctuations during on-the-road driving following sleep deprivation ↗ · 2016 · Perrier, J. et al. · indexed
2520. Driver Safety Prediction System ↗ · 2022 · Raja K, Kalyan et al. · indexed
2521. Comparison among driving state prediction models for car-following condition based on EEG and driving features ↗ · 2019 · Yang, Liu et al. · indexed
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2524. SLEEPINESS AMONG IRANIAN LORRY DRIVERS ↗ · 2007 · Labbafinejad, K. Sadeghniiat Y. · indexed
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2526. Identification of Driver Distraction Based on SHRP2 Naturalistic Driving Study ↗ · 2021 · Liu, Zhiqiang et al. · indexed
2527. Enhancing the Performance of a Model to Predict Driving Distraction with the Random Forest Classifier ↗ · 2021 · Ahangari, Samira et al. · indexed
2528. Using vehicle-based sensors of driver behavior to detect alcohol impairment. · 2011 · Lee, John et al. · archived
2529. A Taxonomy of Methods, Techniques and Sensors for Acquisition of Physiological Signals in Driver Monitoring Systems ↗ · 2025 · Petrova, Galidiya et al. · indexed
2530. Investigating EEG-based cross-session and cross-task vigilance estimation in BCI systems ↗ · 2023 · Wang, Kangning et al. · indexed
2531. Sleep disorders and risk of traffic crashes: A naturalistic driving study analysis ↗ · 2021 · Bharadwaj, Nipjyoti et al. · indexed
2532. Driver Distraction Detection using MEL Cepstrum Representation of Galvanic Skin Responses and Convolutional Neural Networks ↗ · 2018 · Dehzangi, Omid et al. · indexed
2533. Distracted Driver Detection: Deep Learning vs Handcrafted Features ↗ · 2017 · Hssayeni, Murtadha D et al. · indexed
2534. Real-Time Fatigue Detection in Simulated Driving Using Facial Landmark-Based Deep Metrics ↗ · 2025 · Yueyang, He et al. · indexed
2535. A non-intrusive multivariate analysis for monitoring inattentive driving based on physiological signals, driver inputs and visual features: A hybrid deep learning approach ↗ · 2023 · Elassad, Dauha Elamrani Abou et al. · indexed
2536. Directed Brain Network Analysis for Fatigue Driving Based on EEG Source Signals ↗ · 2022 · Qin, Yingmei et al. · indexed
2537. Evaluation of Laplacian Spatial Filter Implementation in Detecting Driver Vigilance Using Linear Classifier ↗ · 2024 · Romahadi, Dedik et al. · indexed
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2540. EEG-based multi-band functional connectivity using corrected amplitude envelope correlation for identifying unfavorable driving states ↗ · 2025 · Chen, Jichi et al. · indexed
2541. Non-Intrusive Driver Condition Monitoring in Highly Automated Vehicles with Medical Information Support for Emergency Calling ↗ · 2019 · Minea, Marius et al. · indexed
2542. Driver drowsiness detection system ↗ · 2024 · Arava, Mohan et al. · indexed
2543. Classification of a Driver's cognitive workload levels using artificial neural network on ECG signals ↗ · 2017 · Tjolleng, Amir et al. · indexed
2544. Police drowsy driving: predicting fatigue-related performance decay ↗ · 2015 · James, Stephen M. et al. · indexed
2545. Detection and Evaluation of Driver Distraction Using Machine Learning and Fuzzy Logic ↗ · 2018 · Aksjonov, Andrei et al. · indexed
2546. On the necessity of adaptive eye movement classification in conditionally automated driving scenarios ↗ · 2016 · Braunagel, Christian et al. · indexed
2547. Driver Distraction Detection Based on Large Kernel Convolution and Attention Mechanism ↗ · 2026 · Wang, Tao et al. · indexed
2548. Multimodal prediction of situation awareness during automated driving: a gaze and EEG-based approach ↗ · 2025 · Lim, Chiho et al. · indexed
2549. Drivers’ subjective perceptions of the contextual factors influencing fatigue: A qualitative study of suburban bus drivers in Iran ↗ · 2022 · Khanehshenas, Farin et al. · indexed
2550. Comparison of outlier heartbeat identification and spectral transformation strategies for deriving heart rate variability indices for drivers at different stages of sleepiness ↗ · 2018 · Forcolin, Fabio et al. · indexed
2551. Robust Prediction of Lane Departure Based on Driver Physiological Signals ↗ · 2016 · Kochhar, Dev S. et al. · indexed
2552. Sleepiness Behind the Wheel and the Implementation of European Driving Regulations ↗ · 2021 · McNicholas, Walter T. · indexed
2553. Development of a Functional Near Infrared Spectroscopy System for Drowsiness Detection during Motorcycle Driving ↗ · 2025 · Dalin, John Roy et al. · indexed
2554. Sleep Apnea, Sleep Debt and Daytime Sleepiness Are Independently Associated with Road Accidents. A Cross-Sectional Study on Truck Drivers · 2016 · Garbarino, Sergio et al. · archived
2555. An Enhancement of the Driver Distraction Detection and Evaluation Method Based on Computational Intelligence Algorithms ↗ · 2018 · Aksjonov, Andrei et al. · indexed
2556. Evolutionary-Optimized Multimodal Driver RiskAssessment Using DE-Enhanced Cross-AttentionFusion of EEG and Telematics · 2026 · Raga Madhuri, Ch et al. · archived
2557. Detection of Driver Cognitive Distraction Using Driver Performance Measures, Eye-Tracking Data and a D-FFNN Model ↗ · 2023 · Shajari, Arian et al. · indexed
2558. Online Driver Distraction Detection Using Long Short-Term Memory ↗ · 2011 · Wollmer, M et al. · indexed
2559. Driver Distraction Monitoring and Alerting System ↗ · 2019 · Walavalkar, Abhishek et al. · indexed
2560. Gaze dynamics reveal age-related physiological patterns across driving events ↗ · 2026 · Strle, Gregor et al. · indexed
2561. Driver Inattention Detection Using a Hybrid Vision Transformer and BiLSTM ↗ · 2026 · Teja, Devanaboyina Manikanta et al. · indexed
2562. Cognitive components of simulated driving performance: Sleep loss effects and predictors ↗ · 2012 · Jackson, Melinda L. et al. · indexed
2563. Human-Centered Multi-Sensor Framework for Identifying Driving Patterns Associated with Cognitive Decline Through Quantitative Analysis · 2026 · Moshfeghi, Sonia et al. · archived
2564. Real-Time In-Cabin Monitoring of Driver Fatigue Levels ↗ · 2025 · Balint, Robert et al. · indexed
2565. Investigating the impact of fatigue level on visual attention of heavy-duty truck driver: An eye tracking study ↗ · 2024 · Cui, Tianyang et al. · indexed
2566. Driver fatigue and highway driving: A simulator study ↗ · 2008 · Ting, Ping-Huang et al. · indexed
2567. Validation of a touchscreen psychomotor vigilance task ↗ · 2019 · Arsintescu, Lucia et al. · indexed
2568. Application of modulated vibration to restore driver alertness ↗ · 2024 · Zou, K. et al. · indexed
2569. Combining and comparing EEG, peripheral physiology and eye-related measures for the assessment of mental workload ↗ · 2014 · Hogervorst, Maarten A. et al. · indexed
2570. Multi-Modal Biological Driver Monitoring via Ubiquitous Wearable Body Sensor Network ↗ · 2015 · Dehzangi, Omid et al. · indexed
2571. Short Sleep Duration, Snoring and Subjective Sleep Insufficiency Are Independent Factors Associated with both Falling Asleep and Feeling Sleepiness while Driving ↗ · 2012 · Abe, Takashi et al. · indexed
2572. Physiologically Grounded Driver Behavior Classification: SHAP-Driven Elite Feature Selection and Hybrid Gradient Boosting for Multimodal Physiological Signals ↗ · 2026 · Askari, Sahar et al. · indexed
2573. Time-Dependent Adaptations of Brain Networks in Driving Fatigue ↗ · 2023 · Giannakopoulou, Olympia et al. · indexed
2574. EEG-based Recognition of Driver State Related to Situation Awareness Using Graph Convolutional Networks ↗ · 2020 · Li, Ruilin et al. · indexed
2575. The Detection of Visual Distraction using Vehicle and Driver-Based Sensors ↗ · 2016 · Schwarz, Chris et al. · indexed
2576. Discriminative Capabilities of Eye Gaze Measures for Cognitive Load Evaluation in a Driving Simulation Task ↗ · 2025 · Bakhchina, Anastasiia et al. · indexed
2577. 0854 Observation-based Diurnal Sleepiness Inventory (ODSI) is associated with Objective Sleepiness via Psychomotor Vigilance Task ↗ · 2023 · Pak, Victoria et al. · indexed
2578. A Neural Network-Based Driver Gaze Classification System with Vehicle Signals ↗ · 2020 · Dari, Simone et al. · indexed
2579. The 10-Year Risk of Verifed Motor Vehicle Crashes in Relation to Physiologic Sleepiness ↗ · 2010 · Drake, Christopher L. et al. · indexed
2580. Study on EEG-based carelessness warnings to bus driver ↗ · 2022 · Hong, Sara et al. · indexed
2581. Sleepiness in professional drivers: Effect of age and time of day ↗ · 2005 · Otmani, Sarah et al. · indexed
2582. Development of an Integrated Longitudinal Control Algorithm for Autonomous Mobility with EEG-Based Driver Status Classification and Safety Index ↗ · 2024 · Jang, Munjung et al. · indexed
2583. Study on Fatigue Driving Detection based on Physiological Characteristics of Drivers ↗ · 2024 · Jiang, Mingjun et al. · indexed
2584. Can Pupillometry be used to Detect Driver Hazard Awareness? ↗ · 2024 · Tamura, Kimimasa et al. · indexed
2585. EFFNet-CA: An Efficient Driver Distraction Detection Based on Multiscale Features Extractions and Channel Attention Mechanism ↗ · 2023 · Khan, Taimoor et al. · indexed
2586. Artificial Intelligence based Driver Vigilance System for Accident Prevention ↗ · 2021 · Tonni, Surraiya Islam et al. · indexed
2587. How to measure monotony-related fatigue? A systematic review of fatigue measurement methods for use on driving tests ↗ · 2018 · Bier, Lukas et al. · indexed
2588. Towards a Ready-to-Use Drivers' Vigilance Monitoring System ↗ · 2008 · Ibarra-Orozco, Rodolfo et al. · indexed
2589. Driver fatigue analysis based on binary brain networks ↗ · 2017 · Zhang, Chi et al. · indexed
2590. Active accident avoidance case study: Integrating drowsiness monitoring system with lateral control and speed regulation in passenger vehicles ↗ · 2008 · Boyraz, Pinar et al. · indexed
2591. Comparison of driver awareness in real traffic and driving on a simulator ↗ · 2022 · Beňuš, J. et al. · indexed
2592. Smart Driver Warning and Alert System using Visual Features ↗ · 2023 · Shekar, Pooja K V et al. · indexed
2593. Attention State Related EEG Spectrum and Pupil Size in Vigilance Task ↗ · 2017 · ZHANG, De-qian et al. · indexed
2594. Sleepiness, driving, and motor vehicle accidents: A questionnaire-based survey ↗ · 2016 · Zwahlen, Daniel et al. · indexed
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2596. Mental Workload Assessment Using Deep Learning Models From EEG Signals: A Systematic Review · 2025 · Kingphai, Kunjira et al. · archived
2597. Can Intermittent Video Sampling Capture Individual Differences in Naturalistic Driving? ↗ · 2013 · Aksan, Nazan et al. · indexed
2598. Time-Change-Fuzzy-Based Intelligent Vehicle Control System for Safe Emergency Lane Transition During Driver Lethargic State · 2018 · Kamarulzaman, Syafiq Fauzi et al. · archived
2599. Driver sleepiness—Comparisons between young and older men during a monotonous afternoon simulated drive ↗ · 2012 · Filtness, Ashleigh J. et al. · indexed
2600. CogniDrive: A HAAR-Cascade Approach for Smart Driver Monitoring and Safety ↗ · 2025 · E, Anitha et al. · indexed
2601. Computational Modeling of the Effects of Sleep Deprivation on the Vigilance Decrement ↗ · 2019 · Patterson, Robert Earl et al. · indexed
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2603. SmartCar: detecting driver stress ↗ · 2002 · Healey, J. et al. · indexed
2604. Effects of Adopting Voice Assistants Countermeasures on Alerting Drowsy Drivers ↗ · 2024 · Zhang, Wei et al. · indexed
2605. Fatigued and drowsy driving: A survey of attitudes, opinions and behaviors ↗ · 2008 · Vanlaar, Ward et al. · indexed
2606. Automated Vehicle Driver Monitoring Dataset from Real-World Scenarios · 2024 · Sabry, Mohamed et al. · archived
2607. Sleep inertia in automated driving: Post-sleep take-over and driving performance ↗ · 2021 · Wörle, Johanna et al. · indexed
2608. Enhanced Driver Safety with Advanced Vision Systems ↗ · 2018 · Howard, Dwight · indexed
2609. Noncontact Multimodal Sensing for Driver Distraction Detection via Behavioral-Physiological Fusion ↗ · 2025 · Sun, Yuheng et al. · indexed
2610. Impairment of Driving Performance Caused by Sleep Deprivation or Alcohol: A Comparative Study ↗ · 1999 · Fairclough, Stephen et al. · indexed
2611. Driver-Activity Recognition in the Context of Conditionally Autonomous Driving ↗ · 2015 · Braunagel, Christian et al. · indexed
2612. Sleepiness and driving: the experience of UK car drivers ↗ · 1996 · Maycock, G · indexed
2613. Driving Behaviour Detection Using Smart Steering Wheel: Supervised and Unsupervised Classification ↗ · 2023 · Abarghooei, Arash et al. · indexed
2614. Driving Style Recognition Based on Electroencephalography Data From a Simulated Driving Experiment ↗ · 2019 · Yan, Fuwu et al. · indexed
2615. Vision-Driven Alertness - A Hybrid Framework Combining Deep Learning and Image Processing for Real-Time Drowsiness Detection and Road Safety Enhancement ↗ · 2025 · R, Remya et al. · indexed
2616. Investigation by the Epworth Sleepiness Scale of daytime sleepiness in professional drivers during work hours ↗ · 2025 · Ntelezos, Konstantinos et al. · indexed
2617. Analysis of the effect of thermal comfort on driver drowsiness progress with Predicted Mean Vote: An experiment using real highway driving conditions ↗ · 2023 · Sunagawa, Mika et al. · indexed
2618. Driver Inattention Monitoring System Based on the Orientation of the Face Using Convolutional Neural Network ↗ · 2020 · Manjula, P.M. et al. · indexed
2619. Stop and revive? The effectiveness of nap and active rest breaks for reducing driver sleepiness · 2014 · Watling, Christopher N. et al. · archived
2620. Comparison of Video-based Driver Gaze Region Estimation Techniques ↗ · 2022 · Yang, Tongxiao et al. · indexed
2621. Detection of Real-World Driving-Induced Affective State Using Physiological Signals and Multi-View Multi-Task Machine Learning ↗ · 2019 · Lopez-Martinez, Daniel et al. · indexed
2622. Evidence Report: Obstructive Sleep Apnea and Commercial Motor Vehicle Driver Safety (Comprehensive Review): Volume 1 [November 21 2007] · 2007 · NHTSA · archived
2623. Research on Driver Fatigue Early Warning System Based on YOLO Algorithm ↗ · 2025 · Jiaqi, Zhang · indexed
2624. The Effect of Simulated High-Speed Driving on the Drivers’ Muscle Tension, PERCLOS (Percentage of Eyelid Closure), Saccade Duration, and Subjective Fatigue ↗ · 2023 · Shin, Ju-Eun et al. · indexed
2625. Drowsiness, counter-measures to drowsiness, and the risk of a motor vehicle crash ↗ · 2001 · Cummings, P et al. · indexed
2626. Adaptive multimodal learning for driver cognitive state monitoring using transformer-based fusion with personalized meta-learning and federated optimization · 2026 · Abinaya, G. et al. · archived
2627. Detecting Stress During Real-World Driving Tasks Using Physiological Sensors ↗ · 2005 · Healey, J.A. et al. · indexed
2628. Time-varying Regularity Exploration and Regulation Practice of Driving Fatigue ↗ · 2021 · Xiang, Chen et al. · indexed
2629. Functional Connectivity Analysis of Mental Fatigue Reveals Different Network Topological Alterations Between Driving and Vigilance Tasks ↗ · 2018 · Dimitrakopoulos, Georgios N. et al. · indexed
2630. Effect of driving duration and partial sleep deprivation on subsequent alertness and performance of car drivers ↗ · 2005 · Otmani, Sarah et al. · indexed
2631. Masked EEG Modeling for Driving Intention Prediction ↗ · 2024 · Zhou, Jinzhao et al. · indexed
2632. EKG/ECG based Driver Alert System for Long Haul Drive ↗ · 2015 · Roy, Riya et al. · indexed
2633. Domain-Aware Spatial-Temporal Selective Gated LSTM for Real-Time Driver Drowsiness Detection ↗ · 2026 · Siagian, Novriadi Antonius · indexed
2634. Drivers’ Workload Electroencephalogram Characteristics in Cognitive Tasks Based on Improved Multiscale Sample Entropy ↗ · 2023 · Liu, Ruiwei et al. · indexed
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2636. Modulating Driver Alertness via Ambient Olfactory Stimulation: A Wearable Electroencephalography Study ↗ · 2024 · Jiang, Mengting et al. · indexed
2637. Temporal complexity of EEG encodes human alertness ↗ · 2022 · Hadra, Mohammad et al. · indexed
2638. Study of driving skill level discrimination based on human physiological signal characteristics ↗ · 2018 · Wang, Fuwang et al. · indexed
2639. Individual differences in peripheral physiology and implications for the real-time assessment of driver state (phase I &amp; II). · 2013 · Reimer, Bryan · archived
2640. Fatigue, Sleepiness, and Performance in Simulated Versus Real Driving Conditions ↗ · 2005 · Philip, Pierre et al. · indexed
2641. Next-Day Effects of Social Drinking on Driver Fatigue and Driving Performance · 2026 · Ahlström, Christer et al. · archived
2642. Driver gaze tracking and eyes off the road detection ↗ · 2023 · Badgujar, Prathamesh et al. · indexed
2643. Determination of Increased Mental Workload Condition From EEG by the Use of Classification Techniques · 2019 · DURU, Adil Deniz · archived
2644. Fidelity of Information Processing on a Psychomotor Vigilance Task Predicts Changes in Self-Reported Sleepiness Ratings ↗ · 2021 · Nielson, Spencer A et al. · indexed
2645. Quantitative Identification of Driver Distraction: A Weakly Supervised Contrastive Learning Approach · 2023 · Yang, Haohan et al. · archived
2646. Can cECG be an unobtrusive surrogate to determine cognitive state of driver? ↗ · 2018 · Balasubramanian, Venkatesh et al. · indexed
2647. The Design of the Virtual Driving Experiment Platform based on EEG · 2015 · Yin, Jinghai et al. · archived
2648. Driver behavior classification model based on an intelligent driving diagnosis system ↗ · 2012 · Quintero M., Christian G. et al. · indexed
2649. Model and research method of automotive driving fatigue ↗ · 2007 · Xiankui Zhang et al. · indexed
2650. Driver Distraction From the EEG Perspective: A Review ↗ · 2024 · Li, Guofa et al. · indexed
2651. EEG-Based Affect and Workload Recognition in a Virtual Driving Environment for ASD Intervention ↗ · 2018 · Fan, Jing et al. · indexed
2652. Driver distraction detection for vehicular monitoring ↗ · 2010 · Yang, Jing et al. · indexed
2653. Driver Monitoring Using Face Detection and Facial Landmarks ↗ · 2018 · Constantin, Leonte et al. · indexed
2654. Spatiotemporal Image Encoding for Cross-Subject Zero Calibration Driver’s Drowsiness Detection through EEG Signals ↗ · 2019 · Singh, Sumeshwar · indexed
2655. MONITORING DRIVER STATUS THROUGH IN-VEHICLE PARAMETERS ↗ · 1991 · Brookhuis, Karel · indexed
2656. Road safety: The influence of vibration frequency on driver drowsiness, reaction time, and driving performance ↗ · 2024 · Zhang, N. et al. · indexed
2657. Smart Diagnosis: Deep Learning Boosted Driver Inattention Detection and Abnormal Driving Prediction ↗ · 2022 · Jiang, Landu et al. · indexed
2658. All In One Network for Driver Attention Monitoring ↗ · 2020 · Yang, Dawei et al. · indexed
2659. Functional Equivalence of Sleep Loss and Time on Task Effects in Sustained Attention ↗ · 2017 · Veksler, Bella Z. et al. · indexed
2660. A smart HMI for driving safety using emotion prediction of EEG signals ↗ · 2016 · Thirunavukkarasu, Gokul Sidarth et al. · indexed
2661. Predicting cognitive load in immersive driving scenarios with a hybrid CNN-RNN model · 2024 · Khan, Mehshan Ahmed et al. · archived
2662. Time-Dependency-Aware Driver Distraction Detection Using Linear-Chain Conditional Random Fields ↗ · 2020 · He, Baotian et al. · indexed
2663. Real-time driver distraction recognition: A hybrid genetic deep network based approach ↗ · 2023 · Aljohani, Abeer. A. · indexed
2664. Validity and sensitivity of a brief psychomotor vigilance test (PVT-B) to total and partial sleep deprivation · 2011 · Basner, Mathias et al. · archived
2665. Low-Cost Driver Monitoring System Using Deep Learning ↗ · 2025 · Khalil, Hady A. et al. · indexed
2666. Light-weight Convolutional Neural Network for Distracted Driver Classification ↗ · 2021 · Nguyen, Duy-Linh et al. · indexed
2667. Decoding Analysis of Alpha Oscillation Networks on Maintaining Driver Alertness ↗ · 2020 · Zhang, Chi et al. · indexed
2668. Maintenance of Wakefulness Test as a Predictor of Driving Performance in Patients With Untreated Obstructive Sleep Apnea ↗ · 2007 · Sagaspe, Patricia et al. · indexed
2669. Drowsy Driver Sleeping Device and Driver Alert System ↗ · 2024 · Prof. Borhade G. L. et al. · indexed
2670. AI-supported cognitive load detection: experimental insights using wearable workload and stress data for enhanced well-being interventions ↗ · 2026 · Yu, Jing et al. · indexed
2671. Real-Time Driver Face Recognition and Fatigue Detection Through Adaptive Spiking Vision AlertNet Classification ↗ · 2025 · Santhiya, G et al. · indexed
2672. EEG Artifact Removal for Improved Automated Lane Change Detection while Driving ↗ · 2018 · Moinnereau, Marc-Antoine et al. · indexed
2673. Assessment of Driver Stress from Physiological Signals collected under Real-Time Semi-Urban Driving Scenarios ↗ · 2014 · Singh, Rajiv Ranjan et al. · indexed
2674. Real-Time Driver Fatigue Detection and Classification Using YOLOv8-FD: A Precision-Driven Approach for Enhanced Road Safety ↗ · 2025 · Department of Computer Science, Research Scholar, Sri Krishna Adithya College of Arts & Science, Kovaipudur, Coimbatore, 641 042, Tamil Nadu, India et al. · indexed
2675. Integrative Mobile Sensor Framework for Driver Behavior Analysis: Real-Time Monitoring of Facial and Physiological Parameters to Enhance Road Safety ↗ · 2025 · G, Manisha et al. · indexed
2676. Integrative Approach to Driver Fatigue and Posture Monitoring for Secure Driving ↗ · 2024 · Reddy, Nikhil Krishna et al. · indexed
2677. The Relationship between Bus Drivers’ Improper Driving Behaviors and Abnormal Vehicle States Based on Advanced Driver Assistance Systems in Naturalistic Driving ↗ · 2020 · Wang, Tao et al. · indexed
2678. How the Autonomic Nervous System and Driving Style Change With Incremental Stressing Conditions During Simulated Driving · 2014 · Lanatà, Antonio et al. · archived
2679. Wake Up and Take Over! The Effect of Fatigue on the Take-over Performance in Conditionally Automated Driving ↗ · 2018 · Feldhutter, Anna et al. · indexed
2680. Effective feature extraction from driving data for detection of danger awareness ↗ · 2019 · Nakano, Kotaro et al. · indexed
2681. A feature selection method for driver stress detection using heart rate variability and breathing rate ↗ · 2023 · Parsi, Ashkan et al. · indexed
2682. Smart Embedded System for Accident Prevention based on Lane Navigation and Drowsiness Detection using CNN ↗ · 2023 · Prithvi, P. et al. · indexed
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2684. Driver Emotion Analytics on In-Vehicle Gesture Control System ↗ · 2022 · Sarla, S M et al. · indexed
2685. EEG Sinyalleri Kullanılarak Zihinsel İş Yükü Seviyelerinin Sınıflandırılması Classification of Mental Workload Levels by Using EEG Signals · 2021 · AKMAN AYDIN, Eda · archived
2686. The circadian effect on psychophysiological driver state monitoring ↗ · 2020 · Kaduk, Sylwia I. et al. · indexed
2687. Effects of a Motion Seat System on Driver’s Passive Task-Related Fatigue: An On-Road Driving Study ↗ · 2020 · Lee, Seunghoon et al. · indexed
2688. Effects of a seat-integrated mobilization system during passive driver fatigue ↗ · 2021 · Schneider, Lisa et al. · indexed
2689. Advancing Cognitive Load Detection in Simulated Driving Scenarios Through Deep Learning and fNIRS Data · 2025 · Khan, Mehshan Ahmed et al. · archived
2690. Advancing Cognitive Load Detection in Simulated Driving Scenarios Through Deep Learning and fNIRS Data · 2025 · Khan, Mehshan Ahmed et al. · archived
2691. Applications of EEG indices for the quantification of human cognitive performance: A systematic review and bibliometric analysis · 2020 · Ismail, Lina Elsherif et al. · archived
2692. Predicting Environmental Demand and Secondary Task Engagement using Vehicle Kinematics from Naturalistic Driving Data ↗ · 2018 · Risteska, Martina et al. · indexed
2693. Cognitive load during driving: EEG microstate metrics are sensitive to task difficulty and predict safety outcomes · 2024 · Ma, Siwei et al. · archived
2694. Predicting driver takeover performance in conditionally automated driving ↗ · 2020 · Du, Na et al. · indexed
2695. VigilEye: Machine learning-powered driver fatigue recognition for safer roads ↗ · 2024 · Theivadas, J Robert et al. · indexed
2696. Real-Time Distracted Driver Detection on Embedded Edge Devices Using Multi-Region CNN Embeddings ↗ · 2026 · Mohan, Rushil · indexed
2697. HOG-LMPCA: A Lightweight Model for Driver Distraction Detection ↗ · 2025 · Bankar, Shweta et al. · indexed
2698. A Machine Learning Approach to Classify Driver Mental Workload as Assessed by Electroencephalography through Infrared Thermal Imaging ↗ · 2022 · Perpetuini, D. et al. · indexed
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2700. Research on Method of Driver Distraction State Based on Mouth State ↗ · 2018 · Huang, Xiangdong et al. · indexed
2701. Understanding the drowsy driving crash patterns from correspondence regression analysis ↗ · 2022 · Das, Subasish · indexed
2702. Commercial Motor Vehicle (CMV) Driver Restart Study: Final Report · 2017 · Dinges, David F. et al. · archived
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2704. Online Recognition of the Mental States of Drivers with an fNIRS-Based Brain-Computer Interface Using Deep Neural Network ↗ · 2019 · Huve, Gauvain et al. · indexed
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2706. Automated Classification of Cognitive Workload Levels Based on Psychophysiological and Behavioural Variables of Ex-Gaussian Distributional Features ↗ · 2022 · Kaczorowska, Monika et al. · indexed
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2708. Drivers Drowsiness Detection For Analysis Eye Movement Using Machine Learning ↗ · 2026 · Karthikeyani.T, Karthikeyani.T et al. · indexed
2709. A biometric-based intelligent monitoring system for early detection and prevention of driver fatigue and distraction ↗ · 2025 · Alaqbawe, Sakher et al. · indexed
2710. Towards multi-modal wearable driver monitoring: Impact of road condition on driver distraction ↗ · 2015 · Dehzangi, Omid et al. · indexed
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2714. AI-Based Driver Drowsiness and Distraction Detection in Real-Time ↗ · 2023 · Kurian, Anna Titu et al. · indexed
2715. Fuzzy support vector machine-based personalizing method to address the inter-subject variance problem of physiological signals in a driver monitoring system ↗ · 2020 · Choi, Minho et al. · indexed
2716. Real-Time Driver State Detection Using mmWave Radar: A Spatiotemporal Fusion Network for Behavior and Physiological Monitoring on Edge Platforms ↗ · 2025 · Tseng, Shih-Pang et al. · indexed
2717. System Analysis on Driver Monitoring System for Mainline Railway ↗ · 2024 · Mok, Niki · indexed
2718. A Review of State-of-Art Methods for Passive Driver Fatigue Detection: Progress and Prospect ↗ · 2024 · Wang, Dong et al. · indexed
2719. Between-Frequency Topographical and Dynamic High-Order Functional Connectivity for Driving Drowsiness Assessment ↗ · 2019 · Harvy, Jonathan et al. · indexed
2720. Monitoring Technologies for Truck Drivers: A Systematic Review of Safety and Driving Behavior · 2025 · Fonseca, Tiago et al. · archived
2721. Predicting Drowsy Driver Break Taking During Long Drives ↗ · 2024 · Gaspar, John et al. · indexed
2722. Drowsiness Detection System Using Image Analysis ↗ · 2025 · Kumar, Mr. Akshay · indexed
2723. Night Fatigue Driving Detection Algorithm based on Lightweight Zero-DCE ↗ · 2022 · Ll, ZhanTi et al. · indexed
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2725. Reliability and validity of a 3-min psychomotor vigilance task in assessing sensitivity to sleep loss and alcohol: fitness for duty in aviation and transportation ↗ · 2021 · Benderoth, Sibylle et al. · indexed
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2728. CLASSIFICATION OF COGNITIVE WORKLOAD FROM EEG SIGNALS USING MULTIDIMENSIONAL FEATURES WITH MACHINE LEARNING AND DEEP LEARNING · 2025 · Koca, Yavuz Bahadir · archived
2729. A Fuzzy-Logic Approach to Dynamic Bayesian Severity Level Classification of Driver Distraction Using Image Recognition · 2020 · Fasanmade, Adebamigbe et al. · archived
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2731. Identification of Driving Workload in Plateau Environment: A Naturalistic Driving Study ↗ · 2026 · Yu, Aolin et al. · indexed
2732. Fatigue detection in a smart car driving ↗ · 2024 · Anis, Jouini et al. · indexed
2733. Is the NASA nap the solution for sleep inertia in automated driving? Unveiling effects of deep sleep on driving behavior, vigilance and subjective experience ↗ · 2025 · Tomzig, Markus et al. · indexed
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2736. Driver Drowsiness Alert System ↗ · 2024 · Kumar, Vinay et al. · indexed
2737. The association between physiological and eye-tracking metrics and cognitive load in drivers: A meta-analysis · 2024 · Wang, Ange et al. · archived
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2739. Driver Identification Based on Stop-and-Go Events Using Naturalistic Driving Data ↗ · 2018 · Gao, Zhen et al. · indexed
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2743. Intelligent Driver Monitoring Based on Physiological Sensor Signals: Application Using Camera ↗ · 2015 · Rahman, Hamidur et al. · indexed
2744. Driving Behavior Recognition Based on Multimodal Physiological Signals under Negative Emotion ↗ · 2026 · shao, shuyu et al. · indexed
2745. Multi-pose Face Detection under Strong Light Condition for Android Driver Fatigue detection System ↗ · 2016 · Sun, Guangmin et al. · indexed
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2747. Truck Driving Environments and Their Influence on Driver Fatigue and Crash Rates ↗ · 2001 · Crum, Michael R. et al. · indexed
2748. Driver inattention detection system using multi-task cascaded convolutional networks ↗ · 2024 · Soultana, Abdelfettah et al. · indexed
2749. A resting-state EEG dataset for sleep deprivation · 2024 · Xiang, Chuqin et al. · archived
2750. Affective Driver State Monitoring for Personalized, Adaptive ADAS ↗ · 2018 · Govindarajan, Vijay et al. · indexed
2751. Look at the Driver, Look at the Road: No Distraction! No Accident! ↗ · 2014 · Rezaei, Mahdi et al. · indexed
2752. Evaluation of Drivers’ Attention Level by a Driving Simulator ↗ · 2012 · Bartolozzi, Riccardo et al. · indexed
2753. Driving drowsy also worsens driver distraction ↗ · 2013 · Anderson, Clare et al. · indexed
2754. Study on the Effect of Driving Time on Fatigue of Grassland Road Based on EEG ↗ · 2021 · Zhang, Yule et al. · indexed
2755. Oculomotor response in measuring driving fatigue ↗ · 2015 · Puspasari, Maya Arlini et al. · indexed
2756. Non-intrusive Detection of Driver Distraction using Machine Learning Algorithms ↗ · 2010 · Fabio, Tango et al. · indexed
2757. Fatigue in transportation operations: A contextual factors survey among Iranian suburban drivers ↗ · 2023 · Khanehshenas, Farin et al. · indexed
2758. Hybrid Steering Model depending on Driver's Gazing Point to detect inattentive driving using Machine Learning ↗ · 2019 · Honda, Takuya et al. · indexed
2759. Driving Behavior Recognition Based on EEG Data From a Driver Taking Over Experiment on a Simulated Autonomous Vehicle ↗ · 2020 · Zou, Bin et al. · indexed
2760. A Novel Method for Classifying Driver Mental Workload Under Naturalistic Conditions With Information From Near-Infrared Spectroscopy ↗ · 2018 · Le, Anh Son et al. · indexed
2761. Nighttime Driver Fatigue Detection Based on Real-Time Joint Face and Facial Landmarks Detection ↗ · 2026 · Huang, Zhuofan et al. · indexed
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2765. Recognition of Air Traffic Controller’s Mouth State Based on Deep Convolutional Neural Network ↗ · 2021 · Xu, Chuxin · indexed
2766. Driver Behavior Assessment with Different ML Models Using EEG and Physiological Data - A Comparative Study ↗ · 2024 · Al-Gburi, Sama Hussein et al. · indexed
2767. Prediction of Reaction Time and Vigilance Variability From Spatio-Spectral Features of Resting-State EEG in a Long Sustained Attention Task · 2020 · Torkamani-Azar, Mastaneh et al. · archived
2768. Driver Drowsiness Detection - A Snippet of ADAS Using OpenCV ↗ · 2024 · Raj, Madhumitha et al. · indexed
2769. Diagnostic Value of Psychomotor Vigilance Task for Severe Sleep Inertia in Idiopathic Hypersomnia Versus Other Sleep Disorders Without Sleep Inertia ↗ · 2026 · Evangelista, Elisa et al. · indexed
2770. Symmetry-Aware Fatigue Driving Detection Based on Improved YOLOv8-LSTM with Enhanced Spatiotemporal Feature Fusion ↗ · 2026 · Jiang, Wanqin · indexed
2771. Understanding mental fatigue and its detection: a comparative analysis of assessments and tools ↗ · 2023 · Kunasegaran, Kaveena et al. · indexed
2772. Dangerous driving behavior detection method in vehicle intelligent cockpit based on transwindow multimodal fusion ↗ · 2026 · Zhao, Minghui et al. · indexed
2773. IMCATN: Transformer Based Learning With Multi-Scale Information Fusion for Driver Cognitive Load Recognition ↗ · 2025 · Cheng, Shiwei et al. · indexed
2774. Analysis of Bus Driver Fatigue and Distracted Driving with DMS Warning-Based Data and Association Rules Mining ↗ · 2025 · Yang, Jun et al. · indexed
2775. A Neuroergonomic Approach Fostered by Wearable EEG for the Multimodal Assessment of Drivers Trainees · 2023 · Di Flumeri, Gianluca et al. · archived
2776. A new method for monitoring the state of drivers-occupant based on infrared 3D camera ↗ · 2022 · Wang, Xianggang et al. · indexed
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2780. Air Traffic Controller Fatigue Detection Based on Facial and Vocal Features Using Long Short-Term Memory ↗ · 2024 · Huang, Zhousheng et al. · indexed
2781. Electrogastrogram-Derived Features for Automated Sickness Detection in Driving Simulator · 2022 · Jakus, Grega et al. · archived
2782. Kalman Filtering to Track Changes in Pupil Size for Automated Driving Systems ↗ · 2021 · Pillai, Prarthana et al. · indexed
2783. Multi-modal system to detect on-the-road driver distraction ↗ · 2018 · Dehzangi, Omid et al. · indexed
2784. Ultra-short objective alertness assessment: an adaptive duration version of the 3 minute PVT (PVT-BA) accurately tracks changes in psychomotor vigilance induced by sleep restriction ↗ · 2022 · Basner, Mathias · indexed
2785. Sleepiness, near-misses and driving accidents among a representative population of French drivers ↗ · 2010 · SAGASPE, PATRICIA et al. · indexed
2786. Identification of Driver Status Hazard Level and the System ↗ · 2023 · Gong, Jiayuan et al. · indexed
2787. Loudness of In-Vehicle auditory Warnings: Sustained counteraction of task-related driver fatigue and individual differences in alertness maintenance ↗ · 2026 · Wu, Mengjiao et al. · indexed
2788. Using real-life alert-based data to analyse drowsiness and distraction of commercial drivers ↗ · 2018 · Ferreira, Sara et al. · indexed
2789. Dynamic Topology Networks for Driving Vigilance Recognition to Enhance Human–Machine Interaction ↗ · 2026 · Xu, Xuebing et al. · indexed
2790. Research Progress on the Development of Fatigue Driving Detection Based on Deep Learning ↗ · 2024 · Guan, Zhibin · indexed
2791. Driver Behaviors Recognizer Based on Light-Weight Convolutional Neural Network Architecture and Attention Mechanism ↗ · 2022 · Nguyen, Duy-Linh et al. · indexed
2792. Characterization of the effects of vibration on seated driver alertness ↗ · 2014 · Azizan, Mohd Amzar et al. · indexed
2793. ECG-Based Driver’s Stress Detection Using Deep Transfer Learning and Fuzzy Logic Approaches ↗ · 2022 · Amin, Muhammad et al. · indexed
2794. Variation in Sleepiness during Early Morning Shifts: A Mixed Model Approach to an Experimental Field Study of Train Drivers ↗ · 2004 · Ingre, Michael et al. · indexed
2795. Low-Cost Eye-Tracking Fixation Analysis for Driver Monitoring Systems Using Kalman Filtering and OPTICS Clustering ↗ · 2025 · Brandstetter, Jonas et al. · indexed
2796. Driver Vigilance Monitoring System ↗ · 2025 · Kumar, Kondamudi Manoj · indexed
2797. EEG-based emergency braking intention detection during simulated driving · 2023 · Liang, Xinbin et al. · archived
2798. The Next Generation of Fatigue Prediction Models: Evaluating Current Trends in Biomathematical Modelling for Safety Optimization ↗ · 2022 · Wilson, Micah Kate et al. · indexed
2799. ANALISIS PENGEMBANGAN APLIKASI PSYCHOMOTOR VIGILANCE TASK (PVT) SEBAGAI ALAT UJI KESIAPAN BERTUGAS PENGEMUDI KENDARAAN TEMPUR ↗ · 2022 · Sukmada, Uman et al. · indexed
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2805. Deep Learning Based Driver Drowsiness Detection in Real Time Environment - An Enhanced Approach ↗ · 2025 · Ajay, Ashin et al. · indexed
2806. Sensitivity of Electrodermal Activity Features for Driver Arousal Measurement in Cognitive Load: The Application in Automated Driving Systems ↗ · 2022 · Li, Penghui et al. · indexed
2807. Evaluation of Classification Techniques for Identifying Cognitive Load Levels using EEG Signals ↗ · 2020 · Salaken, Syed Moshfeq et al. · indexed
2808. A study on warning sound for drowsiness driving prevention system ↗ · 2018 · Ann, Ik-Soo · indexed
2809. An on-road study of sleepiness in split shifts among city bus drivers ↗ · 2018 · Anund, Anna et al. · indexed
2810. Eye Tracing in Real-time Fatigue Driving Monitoring System ↗ · 2006 · Yang, Jie et al. · indexed
2811. Driver sleepiness and risk of serious injury to car occupants: population based case control study ↗ · 2002 · Connor, Jennie et al. · indexed
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2814. A Lightweight Model for Driver Distraction Classification ↗ · 2023 · Khadraoui, Abdelhak et al. · indexed
2815. Using EEG to Detect Lapses in Sustained Attention to Moving Stimuli · 2025 · Lowe, Benjamin G. et al. · archived
2816. Using Multimodal Methods and Machine Learning to Recognize Mental Workload: Distinguishing Between Underload, Moderate Load, and Overload ↗ · 2024 · Jiang, Zebin et al. · indexed
2817. Estimating driver's readiness by understanding driving posture ↗ · 2018 · Yamada, Takahiro et al. · indexed
2818. Study on Driving Fatigue Based on Ergonomics ↗ · 2013 · Qi, Ji Yan · indexed
2819. Research on driver's passive fatigue under the condition of autonomous driving based on eye movement and ECG ↗ · 2021 · Huang, Pengxu et al. · indexed
2820. Improving Road Safety for Driver Malaise and Sleepiness Behind the Wheel Using Vehicular Cloud Computing and Body Area Networks ↗ · 2020 · Benadda, Meriem et al. · indexed
2821. Driver distracted detection using a new hybrid deep convolutional neural network based on Autoencoder ↗ · 2025 · Hassam, Dhulfekar Dhurgham et al. · indexed
2822. Driver state estimation by convolutional neural network using multimodal sensor data ↗ · 2016 · Lim, Sejoon et al. · indexed
2823. AI based Driver Drowsiness &amp; Distraction Detection ↗ · 2026 · P.B, Prof..Rajole et al. · indexed
2824. Driver Drowsiness Detection Using YOLO ↗ · 2024 · Murali, E. et al. · indexed
2825. Associations Between Heavy-Vehicle Driver Compensation Methods, Fatigue-Related Driving Behavior, and Sleepiness ↗ · 2014 · Thompson, Jason et al. · indexed
2826. Information data flow in awake multi-sensor driver monitoring system ↗ · 2004 · Polychronopoulos, A. et al. · indexed
2827. Eye-Gaze Metrics for Cognitive Load Detection on a Driving Simulator ↗ · 2022 · Pillai, Prarthana et al. · indexed
2828. Bias Remediation in Driver Drowsiness Detection Systems Using Generative Adversarial Networks ↗ · 2020 · Ngxande, Mkhuseli et al. · indexed
2829. Lane-Change Detection From Steering Signal Using Spectral Segmentation and Learning-Based Classification ↗ · 2017 · Zheng, Yang et al. · indexed
2830. Sleepiness, Long Distance Commuting and Night Work as Predictors of Driving Performance ↗ · 2012 · Di Milia, Lee et al. · indexed
2831. Smart Detection System for Driver Distraction: Enhanced Support Vector Machine classifier using Analytical Hierarchy Process technique ↗ · 2023 · Singh, Hiteshwar et al. · indexed
2832. Is the Epworth Sleepiness Scale a useful tool for screening excessive daytime sleepiness in commercial drivers? ↗ · 2018 · Baiardi, Simone et al. · indexed
2833. Wertheim’s hypothesis on ‘highway hypnosis’: empirical evidence from a study on motorway and conventional road driving ↗ · 2004 · Cerezuela, Gemma Pastor et al. · indexed
2834. Altering temporal dynamics of sleepiness and mood during sleep deprivation: evidence from resting-state EEG microstates · 2024 · bai, duo et al. · archived
2835. Multimodal Detection of Driver Distraction · 2017 · Eskenazi, Maxine et al. · archived
2836. Perception of simulated driving performance after sleep restriction and caffeine ↗ · 2007 · Biggs, Sarah N. et al. · indexed
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2838. Worker and Driver Drowsiness and Attention Monitoring Open-Source Framework from State-of-the-Art Components ↗ · 2025 · Imre, Jánoki et al. · indexed
2839. The Bordeaux Sleepiness Scale (BOSS): A new questionnaire to measure sleep-related driving risk ↗ · 2023 · Philip, Pierre et al. · indexed
2840. Sleep deficiency and motor vehicle crash risk in the general population: a prospective cohort study · 2018 · Gottlieb, Daniel J. et al. · archived
2841. SENSITIVITY AND SPECIFICITY OF THE PSYCHOMOTOR VIGILANCE TASK IN THE DETECTION OF THE AWAKE TIME OF ROTATING SHIFT WORKERS ↗ · 2011 · Antonietti, L S et al. · indexed
2842. EEG-Based Alcohol Detection System for Driver Monitoring ↗ · 2024 · Vassbotn, Molly et al. · indexed
2843. A Novel Application of Inertial Measurement Units (IMUs) as Vehicular Technologies for Drowsy Driving Detection via Steering Wheel Movement ↗ · 2014 · Lawoyin, Samuel A. et al. · indexed
2844. STFTransNet: A Transformer Based Spatial Temporal Fusion Network for Enhanced Multimodal Driver Inattention State Recognition System ↗ · 2025 · Kim, Minjun et al. · indexed
2845. Intelligent Monitoring System: Facial Features Based Driver Drowsiness and Distraction Detection ↗ · 2025 · Tuna, Baris et al. · indexed
2846. Driver Distraction Detection Using Artificial Intelligence and Smart Devices · 2024 · Papatheocharous, Efi et al. · archived
2847. Using Smartbands, Pupillometry and Body Motion to Detect Discomfort in Automated Driving · 2018 · Beggiato, Matthias et al. · archived
2848. A Transformer-Enhanced BiLSTM Model for Classifying Driver States from Physiological and Motion Signals Under Auditory Stimuli ↗ · 2025 · Shajari, Arian et al. · indexed
2849. Detection of Driver Workload Using Wrist-Worn Wearable Sensors: A Feasibility Study ↗ · 2020 · Tanaka, Ryuto et al. · indexed
2850. A Learning-Based Approach for Lane Departure Warning Systems With a Personalized Driver Model · 2018 · Wang, Wenshuo et al. · archived
2851. Driver identification using driving behavior signals ↗ · 2005 · Wakita, T. et al. · indexed
2852. An EEG dataset for understanding driving expertise from naturalistic urban road experiments. · 2026 · Gong J et al. · archived
2853. Countermeasures for Driver Passive Fatigue: A Systematic Review and Meta-Analysis ↗ · 2026 · Li, Yujin et al. · indexed
2854. Real-time Driver Drowsiness Detection System ↗ · 2025 · S, Monika et al. · indexed
2855. Design of Face Recognition Fatigue Driving Detection System Based on Improved YOLO Algorithm ↗ · 2023 · Zhang, Binyan · indexed
2856. Action Units and Their Cross-Correlations for Prediction of Cognitive Load during Driving ↗ · 2017 · Yuce, Anil et al. · indexed
2857. Determining mechanical and electromyographical reaction time in a BCI driving fatigue experiment ↗ · 2015 · Tan, Zong Xuan et al. · indexed
2858. Computer vision and driver distraction: Developing a behaviour-flagging protocol for naturalistic driving data ↗ · 2014 · Kuo, Jonny et al. · indexed
2859. Analysis of Driver Fatigue Eye Movement Characteristics Under Intelligent Supervision Environment ↗ · 2025 · Li, Xianghong · indexed
2860. Analysis of Driver Fatigue Caused By Highway Hypnosis in Monotonous Geometrics of Road: State of the Arth Review ↗ · 2024 · Khotimah, Khusnul et al. · indexed
2861. 0297 Relationship Between Sleepiness Symptoms Questionnaire Ratings and Psychomotor Vigilance Performance in a Total Sleep Deprivation Study ↗ · 2020 · Skwara, A K et al. · indexed
2862. The Effects of Sleep Quality on Vigilance and Driving Performance in a Train Simulator ↗ · 2020 · Siswanto, D et al. · indexed
2863. Supervised machine learning for modeling human recognition of vehicle-driving situations ↗ · 2005 · Dixon, K.R. et al. · indexed
2864. Relationship between obstructive sleep apnoea, driving simulator performance, and risk of road traffic accidents ↗ · 2001 · Turkington, P M · indexed
2865. Speed-dependent temporal development of driver fatigue in extra-long highway tunnels: An on-road study ↗ · 2026 · Gao, Xiao-Juan et al. · indexed
2866. Empirical stress prediction among drivers utilizing wearable sensors and psychometric signals: Towards smart health ↗ · 2023 · Kaur, Karandeep · indexed
2867. Sleepiness and Driving ↗ · 2019 · McCall, Catherine A. et al. · indexed
2868. Driver Situation Awareness and Perceived Sleepiness during Truck Platoon Driving – Insights from Eye-tracking Data ↗ · 2021 · Castritius, Sarah-Maria et al. · indexed
2869. AI-Powered Driver Drowsiness Detection System for Augmented Road Safety ↗ · 2025 · Ganapathy, Manimozhi et al. · indexed
2870. Driver Safety and Assistance System using Machine Learning &amp; IoT ↗ · 2022 · Chaturvedi, Yash et al. · indexed
2871. Psychomotor Vigilance Task Demonstrates Impaired Vigilance in Disorders with Excessive Daytime Sleepiness ↗ · 2014 · Thomann, Janine et al. · indexed
2872. Driver Behavior Classification at Intersections and Validation on Large Naturalistic Data Set ↗ · 2012 · Aoude, Georges S. et al. · indexed
2873. An Evaluation of the Effects of a Functional Energy Drink on Post-lunch and Early Evening Driving Performance · 2001 · Parks, A. M. et al. · archived
2874. Cognitive Workload Assessment via Eye Gaze and EEG in an Interactive Multi-Modal Driving Task ↗ · 2022 · Aygun, Ayca et al. · indexed
2875. Strategic naps in automated driving − Sleep architecture predicts sleep inertia better than nap duration ↗ · 2025 · Tomzig, Markus et al. · indexed
2876. Synchronization-based fusion of EEG and eye blink signals for enhanced decoding accuracy · 2024 · Alyan, Emad et al. · archived
2877. Young drivers who continue to drive while sleepy: What are the associated sleep‐ and driving‐related factors? ↗ · 2019 · Watling, Christopher N. · indexed
2878. Local changes in the wake electroencephalogram precedes lane departures ↗ · 2017 · Ahlstrom, Christer et al. · indexed
2879. Extracting tendency and stability from time series and random forest for classifying a car driver's cognitive load ↗ · 2014 · Yoshida, Yutaka et al. · indexed
2880. Fractal Dimension as Quantifier of EEG Activity in Driving Simulation · 2021 · Sebastián, Mª et al. · archived
2881. A support vector machine approach to unintentional vehicle lane departure prediction ↗ · 2014 · Albousefi, Alhadi Ali et al. · indexed
2882. Investigating established EEG parameter during real-world driving · 2018 · Protzak, Janna et al. · archived
2883. Sleep habits and road traffic accident risk for Iranian occupational drivers · 2015 · Ebrahimi, Mohammad Hossein et al. · archived
2884. Hybrid driver safety, vigilance and security system for vehicle ↗ · 2015 · Dhivya M. et al. · indexed
2885. Influence of Drowsiness on Driving Performance on Off-Ramps: A Driving Simulator Study ↗ · 2013 · Zhao, Xiaohua et al. · indexed
2886. Analysis Of The Relation Between Vehicle And Physiological Data ↗ · 2025 · Sándor, Ágoston Pál · indexed
2887. Driving-PASS: A Driving Performance Assessment System for Stroke Drivers Using Deep Features · 2021 · Jeon, Sanghoon et al. · archived
2888. Mental Workload Modeling by Using Machine Learning Techniques Based on EEG and Eye Tracking Data ↗ · 2024 · Aksu, Şeniz Harputlu et al. · indexed
2889. Estimation of Driver?s Fatigueness using Entropy and Wavelet Transform Domain ↗ · 2016 · Kumar, Naresh et al. · indexed
2890. Attention, Boredom and Mind Wandering during a Vigilance Task: EEG and Ocular Markers ↗ · 2022 · Esposito, Antonino et al. · indexed
2891. Research on Driver Fatigue and Distraction Detection Method Based on YOLOv8 Algorithm ↗ · 2025 · Bai, Jing et al. · indexed
2892. Risk factors associated with sleep-disordered breathing in professional truck drivers whose collisions were attributed to microsleep-related behaviors while driving ↗ · 2023 · Sawatari, Hiroyuki et al. · indexed
2893. Comparing eye-tracking metrics of mental workload caused by NDRTs in semi-autonomous driving ↗ · 2022 · Chen, Weiya et al. · indexed
2894. DriverMVT: In-Cabin Dataset for Driver Monitoring including Video and Vehicle Telemetry Information ↗ · 2022 · Othman, Walaa et al. · indexed
2895. Robust Deep Learning-Based Driver Distraction Detection and Classification ↗ · 2021 · Ezzouhri, Amal et al. · indexed
2896. Standardized evaluation of camera-based driver state monitoring systems ↗ · 2019 · Tian, Renran et al. · indexed
2897. An analysis of the suitability of a low-cost eye tracker for assessing the cognitive load of drivers ↗ · 2018 · Čegovnik, Tomaž et al. · indexed
2898. Automatic discrimination of attention levels estimated by frontal EEG activity in drivers ↗ · 2017 · Kashihara, Koji · indexed
2899. Regional brain wave activity changes associated with fatigue ↗ · 2012 · Craig, Ashley et al. · indexed
2900. The on-road experiences and awareness of sleepiness in a sample of Australian highway drivers: A roadside driver sleepiness study ↗ · 2015 · Watling, Christopher N. et al. · indexed
2901. The Dashboard of Remote Monitoring System for Driver Fatigue ↗ · 2025 · Hidayat, Ramanda Nur et al. · indexed
2902. NeuralPOS: Physiological Measurement via Remote Photoplethysmography for Driver Monitoring ↗ · 2024 · Jiang, Titong et al. · indexed
2903. DistractNet: a deep convolutional neural network architecture for distracted driver classification · 2022 · Nasri, Ismail et al. · archived
2904. Daytime Sleepiness and Driving Performance in Patients with Obstructive Sleep Apnea: Comparison of the MSLT, the MWT, and a Simulated Driving Task ↗ · 2009 · Pizza, Fabio et al. · indexed
2905. Driver Classification for Optimization of Energy Usage in a Vehicle ↗ · 2012 · Kedar-Dongarkar, Gurunath et al. · indexed
2906. Data-point and feature selection of motor imagery EEG signals for neural classification of cognitive tasks in car-driving ↗ · 2015 · Saha, Anuradha et al. · indexed
2907. Hierarchical Automated Machine Learning Approach for Self-Optimizable Driving Distraction Recognition Based on Driver’s Lane-Keeping Performance ↗ · 2023 · Chai, Chen et al. · indexed
2908. Detecting Driver Distraction Using Deep-Learning Approach ↗ · 2021 · A. AlShalfan, Khalid et al. · indexed
2909. Intelligent Driver Decision Support System in Vehicle Cabin: Reference Model for Dangerous Events Recognition and Learning ↗ · 2019 · Kashevnik, Alexey et al. · indexed
2910. Wakefulness in young and elderly subjects driving at night in a car simulator ↗ · 2009 · Lowden, Arne et al. · indexed
2911. Neural indicators of sleep loss and sleep propensity in male military trainees: Insights from dry‐electrode <scp>EEG</scp>—An exploratory study ↗ · 2025 · Morrone, Jazmin et al. · indexed
2912. Sleep-impaired emotional regulation, impaired cognition, and poor sleep health are associated with risky sleepy driving in young adults ↗ · 2020 · Watling, Christopher N. et al. · indexed
2913. Real-time performance modelling of a Sustained Attention to Response Task ↗ · 2010 · Larue, Grégoire S. et al. · indexed
2914. Multimodal Assessment of Mental Workload During Automated Vehicle Remote Assistance: Modeling of Eye-Tracking-Related, Skin Conductance, and Cardiovascular Indicators · 2025 · Walocha, Fabian et al. · archived
2915. Driver distraction detection via multi‐scale domain adaptation network ↗ · 2023 · Wang, Jing et al. · indexed
2916. Physiological responses related to moderate mental load during car driving in field conditions ↗ · 2015 · Wiberg, Henrik et al. · indexed
2917. Driver sleepiness and risk of motor vehicle crash injuries: A population-based case control study in Fiji (TRIP 12) ↗ · 2013 · Herman, Josephine et al. · indexed
2918. A Transfer Learning-Based Framework for Real-Time Driver Distraction Detection on Edge Devices ↗ · 2026 · Singh, Yuvraj et al. · indexed
2919. SADNet: sustained attention decoding in a driving task by self-attention convolutional neural network ↗ · 2024 · Lai, Shuzhong et al. · indexed
2920. Evaluation on Diversity of Drivers’ Cognitive Stress Response using EEG and ECG Signals during Real-Traffic Experiment with an Electric Vehicle ↗ · 2019 · Noh, Yuna et al. · indexed
2921. Driving Conditions Recognition Using Heart Rate Variability Indexes ↗ · 2010 · Wang, Jeen-Shin et al. · indexed
2922. Road Environment and Driver Fatigue ↗ · 2005 · Oron-Gilad, Tal et al. · indexed
2923. Real-Time Driver Fatigue Monitoring and Traffic Sign Detection in Visionary Vehicles- Based Alert System Using FIBTS ↗ · 2025 · K, Ashwin Kumar et al. · indexed
2924. Real-Time Adaptation of Driving Time and Rest Periods in Automated Long-Haul Trucking: Development of a System Based on Biomathematical Modelling, Fatigue and Relaxation Monitoring ↗ · 2022 · Ahlstrom, Christer et al. · indexed
2925. Generalized model for driver activity recognition in automated vehicles using pressure sensor array · 2022 · Nobari, Khazar Dargahi et al. · archived
2926. Driver behavior event detection for manual annotation by clustering of the driver physiological signals ↗ · 2016 · Li, Nanxiang et al. · indexed
2927. Distinguishing vigilance decrement and low task demands from mind‐wandering: A machine learning analysis of EEG · 2020 · Jin, Christina Yi et al. · archived
2928. Circadian effect on physiology and driving performance in semi-automated vehicles ↗ · 2022 · Kaduk, S. I. et al. · indexed
2929. The Study of Driver Distraction Characteristic Detection Technology ↗ · 2010 · Zhiqiang, Liu et al. · indexed
2930. Driver sleepiness and individual differences in preferences for countermeasures ↗ · 2008 · Anund, Anna et al. · indexed
2931. Real-Time Bus Driver Monitoring System Using Machine Learning ↗ · 2024 · Kadu, Anil et al. · indexed
2932. Sleep loss and change detection in simulated driving ↗ · 2020 · Filtness, A. J. et al. · indexed
2933. Emotion Analytics for Advanced Driver Monitoring System ↗ · 2019 · Nandyala, Sivaprasad et al. · indexed
2934. At home and away: Measuring the sleep of Australian truck drivers ↗ · 2012 · Baulk, Stuart D. et al. · indexed
2935. Road accidents caused by drivers falling asleep ↗ · 1999 · Sagberg, Fridulv · indexed
2936. A Multi-Sensor Late Fusion Framework for Driver Cognitive State Detection ↗ · 2025 · Raafay Umar, S A et al. · indexed
2937. A review of driver cognitive load detection using ECG signals ↗ · 2024 · Tjolleng, Amir et al. · indexed
2938. Sleepiness and the risk of road traffic accidents: A systematic review and meta-analysis of previous studies ↗ · 2018 · Moradi, Ali et al. · indexed
2939. Feature extraction with deep belief networks for driver's cognitive states prediction from EEG data ↗ · 2015 · Hajinoroozi, Mehdi et al. · indexed
2940. Extracting Sections of Simulated Driving Routes that Elicit Driving Responses Predictive of ADHD via Recursively Constructed Ensembles · 2022 · Grethlein, David · archived
2941. 2C3-3　Real-Time Estimation of Mental-WorkLoad for Drivers Based on Multidimensional Biosignal Analysis · 2019 · SHIMIZU, Takeshi et al. · archived
2942. Reliability Analysis of Driving Behaviour in Road Traffic System Considering Synchronization of Neural Activity ↗ · 2018 · He, Shouhui et al. · indexed
2943. Association between commercial vehicle driver at-fault crashes involving sleepiness/fatigue and proximity to rest areas and truck stops ↗ · 2017 · Bunn, Terry L. et al. · indexed
2944. Identification of a Linear Parameter Varying Driver Model for the Detection of Distraction ↗ · 2015 · Ameyoe, Ablamvi et al. · indexed
2945. Noninvasive Heart Rate Variability Detection Device for Fatigue Driving Detection System ↗ · 2012 · Ye, Ning et al. · indexed
2946. Freeway crashes involving drowsy driving: Crash characteristics and severity in South Korea ↗ · 2021 · Kim, Sungyop et al. · indexed
2947. Employing consumer electronic devices in physiological and emotional evaluation of common driving activities ↗ · 2017 · Melnicuk, Vadim et al. · indexed
2948. Predicting Driving State, Intent to Merge and Working Memory Load from Eye-Tracking Data Collected in a Driving Simulator Study ↗ · 2025 · Arndt, Rimo Aron · indexed
2949. Integrated modeling of driver gaze and vehicle operation behavior to estimate risk level during lane changes ↗ · 2013 · Mori, Masataka et al. · indexed
2950. Advancing Driver Assistance Systems and Drowsiness Detection: Overcoming Challenges for Enhanced Road Safety ↗ · 2025 · George, Herbert et al. · indexed
2951. Driver Distraction Classification Using Deep Convolutional Autoencoder and Ensemble Learning ↗ · 2023 · Muthuswamy, Anirudh et al. · indexed
2952. 3-minute smartphone-based and tablet-based psychomotor vigilance tests for the assessment of reduced alertness due to sleep deprivation ↗ · 2016 · Grant, Devon A. et al. · indexed
2953. Driver Workload Characteristics Analysis Using EEG Data From an Urban Road ↗ · 2014 · Kim, Hyun Suk et al. · indexed
2954. Robust multimodal mental workload classification: A cross-physiological condition machine learning approach ↗ · 2026 · Pontiggia, Anais et al. · indexed
2955. Driver Distraction Detection Based on the True Driver’s Focus of Attention ↗ · 2022 · Huang, Tao et al. · indexed
2956. Effect of Drowsiness on Driver Performance and Traffic Safety ↗ · 2020 · Elbaz, Yousef et al. · indexed
2957. In-Vehicle Affect Detection System ↗ · 2018 · Vasey, Eric et al. · indexed
2958. Distracted Driver Detection Using Deep Learning ↗ · 2022 · Bahari, Muhammad Saiful Haqem Saiful et al. · indexed
2959. Detection of Discomfort in Autonomous Driving via Stochastic Approximation · 2022 · Kretzschmar, Florian et al. · archived
2960. Classification of Inter-Urban Highway Drivers’ Resting Behavior for Advanced Driver-Assistance System Technologies using Vehicle Trajectory Data from Car Navigation Systems · 2020 · Choi, Jaeheon et al. · archived
2961. Model-Based Estimation of Mental Workload in Drivers Using Pupil Size Measurements ↗ · 2023 · Pillai, Prarthana et al. · indexed
2962. The evolutionary game of enterprise and driver fatigue regulation in the intelligent networked environment-A case study in Jiaozuo city, China ↗ · 2023 · Xianghong, Li et al. · indexed
2963. P106 Evaluating the correlation between objective daytime sleepiness, daytime functioning and subjective sleepiness ↗ · 2021 · Chee, A et al. · indexed
2964. Prediction of Driver's Workload from Slow Fluctuations of Pupil Diameter ↗ · 2018 · Yokoyama, Hiroshi et al. · indexed
2965. Factors associated with self-reported driver sleepiness and incidents in city bus drivers ↗ · 2016 · ANUND, Anna et al. · indexed
2966. An XGBoost approach to detect driver visual distraction based on vehicle dynamics ↗ · 2023 · Guo, Yongqiang et al. · indexed
2967. Functional Connectivity Analysis and Detection of Mental Fatigue Induced by Different Tasks Using Functional Near-Infrared Spectroscopy ↗ · 2022 · Peng, Yaoxing et al. · indexed
2968. Cognitive load detection using Binary salp swarm algorithm for feature selection ↗ · 2022 · Yedukondalu, Jammisetty et al. · indexed
2969. CogBeacon: A Multi-Modal Dataset and Data-Collection Platform for Modeling Cognitive Fatigue ↗ · 2019 · Papakostas, Michalis et al. · indexed
2970. Study on the Influence of Driving Fatigue on Drivers' Effective Reaction Time ↗ · 2022 · Zhang, Zuoying · indexed
2971. Tracking-based detection of driving distraction from vehicular interior video ↗ · 2016 · Billah, Tashrif et al. · indexed
2972. CRNet: A Driver Distraction Detection Model Based on Cascaded ResNet Networks and Attention Mechanisms ↗ · 2025 · Qin, Binbin · indexed
2973. Application of a BiLSTM Model for Detecting Driver Distraction Caused by Hand-Held Mobile Phones, Utilizing Physiological Signals and Head Motion Data ↗ · 2024 · Shajari, Arian et al. · indexed
2974. Driver Drowsiness Detection System ↗ · 2021 · Kartha, Sreelakshmi · indexed
2975. MFE-Driver: Multimodal Fusion Network for EEG-based Driver Emotion State Recognition ↗ · 2025 · Ma, Yongqiang et al. · indexed
2976. Classification of Driver Steering Intentions Using an Electroencephalogram · 2008 · IKENISHI, Toshihito et al. · archived
2977. YOLOv12-Based Driver Monitoring System: Real-Time Applications in ADAS · 2025 · Chaman, Mohammed et al. · archived
2978. A Deep Learning Approach to High Accuracy Driver Identification using Physiological Signals with Optimal Driver Pool Size ↗ · 2024 · Guo, Ao et al. · indexed
2979. JLR heart: Employing wearable technology in non-intrusive driver state monitoring. Preliminary study ↗ · 2016 · Melnicuk, Vadim et al. · indexed
2980. Electroencephalography during on-the-road driving in older untreated insomnia patients and normal sleepers ↗ · 2015 · Perrier, J. et al. · indexed
2981. Comparative utility of instruments for monitoring sleepiness‐related performance decrements in the operational environment ↗ · 2004 · Balkin, Thomas J. et al. · indexed
2982. Psychophysiological responses to short-term cooling during a simulated monotonous driving task ↗ · 2017 · Schmidt, Elisabeth et al. · indexed
2983. Proposal for Driver Distraction Indexes Using Biological Signals ↗ · 2012 · Ohkura, Michiko et al. · indexed
2984. Fatigue Driving Detection Based on Improved YOLOV5 ↗ · 2022 · Wang, Guilu · indexed
2985. Sustained Attention Driving Task Analysis based on Recurrent Residual Neural Network using EEG Data · 2018 · Ming, Yurui et al. · archived
2986. Managing driver fatigue in the long-distance road transport industry: interim report of a national research programme ↗ · 2019 · Feyer, Anne-Marie et al. · indexed
2987. Drowsiness and Driving: Preliminary Report of a Population Survey ↗ · 1973 · Tilley, D. H. et al. · indexed
2988. Eye state recognition based on continuous wavelet transform and improved convolutional neural network ↗ · 2023 · Xiao, Qiyang et al. · indexed
2989. XGBoost Algorithm-Based Monitoring Model for Urban Driving Stress: Combining Driving Behaviour, Driving Environment, and Route Familiarity ↗ · 2021 · Lu, Yue et al. · indexed
2990. Sleepy drivers on a slippery road: A pilot study using a driving simulator ↗ · 2021 · Radun, Igor et al. · indexed
2991. The relationship of measures of eye behavior and driving performance under the influence of alcohol ↗ · 2026 · Brown, Timothy et al. · indexed
2992. Ergonomic design and implementation of a wakefulness control device for a railway train driver ↗ · 2021 · Mikhailova, Natalia A. et al. · indexed
2993. 0498 Monitoring Vigilance Decrement in Physicians-in-Training Using Wearable Sensors ↗ · 2025 · Kim, Ji-Eun et al. · indexed
2994. Driver Attention Detection Based on Improved YOLOv5 ↗ · 2023 · Wang, Zhongzhou et al. · indexed
2995. Heterogeneous overtaking and learning styles with varied EEG patterns in a reinforced driving task ↗ · 2022 · Zhao, Shuo et al. · indexed
2996. A method for driving control authority transition for cooperative autonomous vehicle ↗ · 2015 · Koo, Yongbon et al. · indexed
2997. An End-to-End Brain Computer Interface System for Mental Workload Estimation through Hybrid Deep Learning Model · 2024 · Sharma, Vipul et al. · archived
2998. Reducing passive driver fatigue through a suitable secondary motor task by means of an interactive seating system ↗ · 2022 · Lampe, Dario et al. · indexed
2999. Evaluate Impact of Sleep Habit on Driving Fatigue and Safety Risk using SHRP 2 Naturalistic Driving Study ↗ · 2017 · Pérez, Miguel A. et al. · indexed
3000. Comparison of Multiple Physiological Sensors to Classify Operator State in Adaptive Automation Systems ↗ · 2010 · Taylor, Grant et al. · indexed
3001. Heart rate dynamics for cognitive load estimation in a driving simulation task · 2024 · Arutyunova, Karina Rollandovna et al. · archived
3002. Distracted Driver Recognizer with Simple and Efficient Convolutional Neural Network for Real-time System ↗ · 2021 · Nguyen, Duy-Linh et al. · indexed
3003. Driver Stress State Evaluation by Means of Thermal Imaging: A Supervised Machine Learning Approach Based on ECG Signal ↗ · 2020 · Cardone, Daniela et al. · indexed
3004. Multi-Level Driver Workload Prediction using Machine Learning and Off-the-Shelf Sensors ↗ · 2018 · van Gent, Paul et al. · indexed
3005. Analysis of Research for Fatigue Driving Detection in Complex Scenarios ↗ · 2025 · Min, Sirui · indexed
3006. Wearable Driver Distraction Identification On-The-Road via Continuous Decomposition of Galvanic Skin Responses ↗ · 2018 · Dehzangi, Omid et al. · indexed
3007. Rumble Strips in Centre of the Lane and the Effect on Sleepy Drivers ↗ · 2011 · ANUND, Anna et al. · indexed
3008. Fitness for Duty ↗ · 2011 · Basner, Mathias et al. · indexed
3009. The Psychomotor Vigilance Test as a measure of alertness and sleep inertia in people with central disorders of hypersomnolence ↗ · 2022 · Trotti, Lynn Marie et al. · indexed
3010. Sensitivity of Physiological Measures of Acute Driver Stress: A Meta-Analytic Review · 2021 · Kerautret, Laora et al. · archived
3011. Evaluating Driving Safety of Road Alignment Conditions by Predicted Driver’s Psychophysiological Workload Using Vehicle Maneuvering Data ↗ · 2023 · Jang, Jiyong et al. · indexed
3012. Driver Drowsiness Detection and Adaptive Braking System ↗ · 2025 · Borgohain, Chanakya et al. · indexed
3013. Toward Emotion Recognition in Car-Racing Drivers: A Biosignal Processing Approach ↗ · 2008 · Katsis, C.D. et al. · indexed
3014. Fatigue, Sleep Restriction, and Performance in Automobile Drivers: A Controlled Study in a Natural Environment ↗ · 2003 · Philip, Pierre et al. · indexed
3015. Hybrid Quantum Neural Network with Self-Attention for Automated Detection of Distraction-Induced Driver Inattention and Stress from Multimodal Wearable Biosignals ↗ · 2026 · Pavan, Kaveti et al. · indexed
3016. Automated recognition of drunk driving on highways from video sequences ↗ · 2002 · Carswell, B. et al. · indexed
3017. A Framework for Robust Driver Gaze Classification ↗ · 2016 · Fridman, Lex et al. · indexed
3018. Driver-Behavior Modeling Using On-Road Driving Data: A new application for behavior signal processing ↗ · 2016 · Miyajima, Chiyomi et al. · indexed
3019. A discriminating method of driving anger based on sample entropy of EEG and BVP ↗ · 2015 · Wan, Ping et al. · indexed
3020. Adaptive Driver Characteristics Lateral Warning Algorithm ↗ · 2011 · Tian, E. et al. · indexed
3021. TVAR modeling of EEG to detect audio distraction during simulated driving ↗ · 2014 · Dahal, Nabaraj et al. · indexed
3022. Influence of Task Combination on EEG Spectrum Modulation for Driver Workload Estimation ↗ · 2011 · Lei, Shengguang et al. · indexed
3023. Awareness of driving while sleepy and road traffic accidents: prospective study in GAZEL cohort ↗ · 2006 · Nabi, Hermann et al. · indexed
3024. Operator Functional State Classification Using Neural Networks with Combined Physiological and Performance Features ↗ · 1999 · Wilson, Glenn F. et al. · indexed
3025. Driver Distraction Analysis Using Convolutional Neural Networks ↗ · 2018 · Kumari, Manjula et al. · indexed
3026. GETN: A Graph-Based EEG Transformer Network for Driver Takeover Reliability Assessment in Conditionally Automated Driving ↗ · 2025 · Zhao, Xinzhi et al. · indexed
3027. A Systematic Methodology to Evaluate Prediction Models for Driving Style Classification ↗ · 2020 · Silva, Iván et al. · indexed
3028. Differential sensitivity of self-reported driving and collision measures to aspects of shiftwork, sleep, and fatigue ↗ · 2026 · Goodwin, Peter J. et al. · indexed
3029. EEG workload estimation and classification: a systematic review ↗ · 2025 · Hassan, Jahid et al. · indexed
3030. Intelligent Driver Monitoring System for Detecting Fatigue and Distraction through Speech Analysis ↗ · 2025 · Shilaskar, Swati et al. · indexed
3031. A Critical Review of Proactive Detection of Driver Stress Levels Based on Multimodal Measurements ↗ · 2018 · RASTGOO, Mohammad Naim et al. · indexed
3032. Functional brain network analysis of the fatigue state for coach bus driver ↗ · 2015 · Chang, Wenwen et al. · indexed
3033. In‐car countermeasures open window and music revisited on the real road: popular but hardly effective against driver sleepiness ↗ · 2012 · SCHWARZ, JOHANNA F. A. et al. · indexed
3034. Driver Alert System Using Convolutional Neural Network ↗ · 2025 · Karthick A et al. · indexed
3035. Fatigue analysis and design of a motorcycle online driver measurement tool using real-time sensors ↗ · 2023 · Soenandi, Iwan Aang et al. · indexed
3036. Estimating the State of Pressing the Gas Pedal by Using driver EEG Data ↗ · 2018 · Sarikaya, Bilal et al. · indexed
3037. Adaptive Driver State Monitoring with Temporal Reasoning and Risk Estimation for Safe Transportation ↗ · 2026 · Yar, Hikmat et al. · indexed
3038. Driver Profiling and Bayesian Workload Estimation Using Naturalistic Peripheral Detection Study Data ↗ · 2024 · Caber, Nermin et al. · indexed
3039. Investigating mental workload caused by NDRTs in highly automated driving with deep learning ↗ · 2024 · Hu, Xintao et al. · indexed
3040. Modeling Sensor-based Vigilance Decrement in the Healthcare Environment ↗ · 2024 · Li, Jiaxin et al. · indexed
3041. Detection of emergency braking intention using driver's electroencephalographic signals ↗ · 2019 · Hernández-Rojas, Luis Guillermo et al. · indexed
3042. Leveraging Naturalistic Driving Digital Biomarkers for Early Mild Cognitive Impairment Detection: Deep Learning Strategies (Preprint) ↗ · 2025 · Al-Hindawi, Firas et al. · indexed
3043. Impact of free-choice non-driving related activities on driver fatigue and performance in the context of conditional automated driving ↗ · 2025 · Loew, Alexandra et al. · indexed
3044. SAFE-D: A Spatiotemporal Detection Framework for Abnormal Driving Among Parkinson's Disease-like Drivers · 2025 · Cao, Hangcheng et al. · archived
3045. Real-Time Assessment of Operator State in Air Traffic Controllers Using Ocular Metrics ↗ · 2017 · Kuo, Jonny et al. · indexed
3046. Microsleep Episodes and Related Crashes During Overnight Driving Simulations ↗ · 2011 · Golz, Martin et al. · indexed
3047. OC-SVM on alertness driver behavior ↗ · 2023 · Abas, Ashardi et al. · indexed
3048. Training Intelligent Driver State Monitoring Systems: Design and Validation of an Experimental Procedure in a Driving Simulator Environment ↗ · 2023 · Presta, Roberta et al. · indexed
3049. Stress Classification of ECG-Derived HRV Features Extracted from Wearable Devices ↗ · 2021 · Dalmeida, Kayisan Mary et al. · indexed
3050. Effects of Sleep Deprivation on Vigilance, Attention, and Performance During Simulated Train Driving ↗ · 2021 · Theresia, Clara et al. · indexed
3051. Research on Beijing Bus Driver Psychology Fatigue Evaluation ↗ · 2012 · Sang, Yao et al. · indexed
3052. Effect of fatigue on performance measured by a driving simulator in automobile drivers ↗ · 2003 · Philip, Pierre et al. · indexed
3053. Stress Events Detection of Driver by Wearable Glove System ↗ · 2016 · Lee, Dae Seok et al. · indexed
3054. Habitually Sleepy Drivers Have a High Frequency of Automobile Crashes Associated with Respiratory Disorders during Sleep ↗ · 2000 · Masa, Juan F. et al. · indexed
3055. Driver Behaviour Detection Using Multimodal Physiological Signals and Regularized Deep Kernel Learning ↗ · 2025 · Kaveti, Pavan et al. · indexed
3056. A Driver Emotion Monitoring System Based on Computer Vision Technique ↗ · 2025 · Yan, Zekai · indexed
3057. Cepstral Analysis of Driving Behavioral Signals for Driver Identification · 2006 · Miyajima, C. et al. · archived
3058. Driver State Monitoring through Driving Style Estimation ↗ · 2023 · Chiapello, Nicolo et al. · indexed
3059. Individual Variability and Predictors of Driving Simulator Impairment in Patients with Obstructive Sleep Apnea ↗ · 2014 · Vakulin, Andrew et al. · indexed
3060. SmartV: Intelligent vigilance monitoring based on sensor fusion and driving dynamics ↗ · 2013 · Wijayagunawardhane, N. R. B. et al. · indexed
3061. Vehicle Driver State Estimation Using AI and Algorithm ↗ · 2025 · L, Murali Krishna et al. · indexed
3062. ECG-Based Driver Distraction Identification Using Wavelet Packet Transform and Discriminative Kernel-Based Features ↗ · 2017 · Deshmukh, Shantanu V. et al. · indexed
3063. Driver alertness detection using Google Glasses ↗ · 2015 · Liu, Kuang-Yu et al. · indexed
3064. Speech Analysis for Fatigue and Sleepiness Detection of a Pilot ↗ · 2019 · de Vasconcelos, Carla Aparecida et al. · indexed
3065. 0635 Vigilance Observations - Learning from Nighttime Driving Behaviours ↗ · 2018 · Tse, E et al. · indexed
3066. Driver workload classification through neural network modeling using physiological indicators ↗ · 2013 · Hoogendoorn, Raymond et al. · indexed
3067. Design and Implementation of an Image-Based Driver Attention Warning System on Low-Cost DSP Platform ↗ · 2010 · Liao, Yu-Sheng et al. · indexed
3068. Prevalence of drowsy driving and modeling its intention: An Indonesian case study ↗ · 2023 · Rahmadiyani, Rani et al. · indexed
3069. Real Time Driver Fatigue Detection and Smart Rescue System ↗ · 2020 · Ravi, A et al. · indexed
3070. A Comparison of Random and Sinusoidal Vibration Effect on Human Alertness Level · 2026 · Amzar Azizan, Mohd et al. · archived
3071. Effects of Partial Sleep Deprivation on Braking Response of Drivers in Hazard Scenarios ↗ · 2020 · Mahajan, Kirti et al. · indexed
3072. Driver Fatigue and Safety: A Transactional Perspective ↗ · 2017 · Neubauer, Catherine et al. · indexed
3073. Automatic Driver Head State Estimation in Challenging Naturalistic Driving Videos ↗ · 2017 · Smith, Brandon M. et al. · indexed
3074. The Effects of Fatigue on Driver Performance for Single and Team Long-Haul Truck Drivers ↗ · 2003 · Klauer, Shelia G et al. · indexed
3075. Measurement and identification of mental workload during simulated computer tasks with multimodal methods and machine learning ↗ · 2020 · Ding, Yi et al. · indexed
3076. Driver Identification Using Driving Behavior Signals ↗ · 2006 · Wakita, Toshihiro · indexed
3077. Predicting Driver Alertness by Learning Takeover Patterns from Vehicle Telemetry ↗ · 2025 · Chung, Wong Kah et al. · indexed
3078. Driver Activity Classification Using Generalizable Representations from Vision-Language Models · 2024 · Greer, Ross et al. · archived
3079. Computer recognition of human emotions ↗ · 2002 · Li, H. · indexed
3080. Driving-Style Assessment from a Motion Sickness Perspective Based on Machine Learning Techniques · 2023 · Ruiz Colmenares, Jon Ander et al. · archived
3081. Increased nocturnal arterial pulsation frequencies of obstructive sleep apnoea patients is associated with an increased number of lapses in a psychomotor vigilance task ↗ · 2020 · Kainulainen, Samu et al. · indexed
3082. Driver Modeling Based on Driving Behavior and Its Evaluation in Driver Identification ↗ · 2007 · Miyajima, Chiyomi et al. · indexed
3083. GAN-based EEG Forecasting for Attaining Driving Operations ↗ · 2023 · Takasaki, Kenichi et al. · indexed
3084. Driver’s Facial Expression Recognition in Real-Time for Safe Driving ↗ · 2018 · Jeong, Mira et al. · indexed
3085. On Time Series Cross-Validation for Deep Learning Classification Model of Mental Workload Levels Based on EEG Signals · 2023 · Kingphai, Kunjira et al. · archived
3086. Driver Drowsiness Detection System ↗ · 2025 · George, Bency · indexed
3087. Real-Time Monitoring System of Automobile Driver Status and Intelligent Fatigue Warning Based on Triboelectric Nanogenerator ↗ · 2021 · Xu, Yuhong et al. · indexed
3088. Advancing driver fatigue detection in diverse lighting conditions for assisted driving vehicles with enhanced facial recognition technologies ↗ · 2024 · Lin, Ning et al. · indexed
3089. Real-time Eye Blink Detection using Computer Vision and Machine Learning ↗ · 2024 · Francisco Santos, Dheiver · indexed
3090. A Design Approach for Driver's Vigilance and Monitoring System ↗ · 2011 · Bankar, Rushikesh T. et al. · indexed
3091. Model of Driver’s Eye Movement and ECG Index under Tunnel Environment Based on Spatiotemporal Data ↗ · 2020 · Qi, Weiwei et al. · indexed
3092. A Review of Fatigue Driving Detection Methods Based on Drivers' Facial Features ↗ · 2025 · Min, Sirui · indexed
3093. From Micro to Meso: A Data-Driven Mesoscopic Region Division Method Based on Functional Connectivity for EEG-Based Driver Fatigue Detection ↗ · 2025 · Zhong, Lexing et al. · indexed
3094. Application of Fatigue Driving Detection Based on Edge Computing ↗ · 2025 · Sun, Haorui et al. · indexed
3095. Measuring fatigue following acquired brain injury: A validation study of the Psychomotor Vigilance Test ↗ · 2020 · Bruijel, J et al. · indexed
3096. Range Specific Neighborhood Rough Set Based Feature Selection for Driver Inattention Classification ↗ · 2019 · Ph.D Research Scholar, Department of Computer Science, Periyar University, Salem. et al. · indexed
3097. Hybrid GNN-Based Driver Monitoring System using Facial Landmarks ↗ · 2026 · M, Poojitha et al. · indexed
3098. YOLO-FDCL: Improved YOLOv8 for Driver Fatigue Detection in Complex Lighting Conditions ↗ · 2025 · Liu, Genchao et al. · indexed
3099. Enhanced safety for SDV through Camera-based Driver drowsiness detection ↗ · 2025 · Vijayasudhan, G et al. · indexed
3100. ANGELS - Smart Steering Wheel for Driver Safety ↗ · 2023 · Amidei, Andrea et al. · indexed
3101. Evaluating Smartwatch-based Sleep Quality Indicators of Fitness to Work ↗ · 2017 · Yassierli et al. · indexed
3102. Automatic Driver Monitoring Using Electrical Impedance Measurement on Steering Wheel ↗ · 2016 · Venclikova, Marketa et al. · indexed
3103. EEG-Based Adaptive Driver-Vehicle Interface Using Variational Autoencoder and PI-TSVM ↗ · 2019 · Bi, Luzheng et al. · indexed
3104. Biosignals Based Automated Driver Cognitive Load Assessment Using a Pre-Trained Transformer ↗ · 2025 · Azizi, Mohammad Mahdi et al. · indexed
3105. Comparison on driving fatigue related hemodynamics activated by auditory and visual stimulus ↗ · 2018 · Li, Ting et al. · indexed
3106. Supervised Machine Learning Algorithms to Diagnose Stress for Vehicle Drivers Based on Physiological Sensor Signals ↗ · 2015 · Barua Shaibal et al. · indexed
3107. Abnormal Behavior Detection in Real-time for Advanced Driver Assistance System (ADAS) using YOLO ↗ · 2022 · Soe, May Thu et al. · indexed
3108. Integrating Attention Mechanisms and ResNet-50 For Enhanced Driver Sleepiness Detection ↗ · 2025 · Huang, Zheng · indexed
3109. Label-Based Alignment Multi-Source Domain Adaptation for Cross-Subject EEG Fatigue Mental State Evaluation · 2021 · Zhao, Yue et al. · archived
3110. Psychomotor vigilance task- objective sleep disorder screening tool for Indian population ↗ · 2012 · Ramrakhiyani, Vanita C et al. · indexed
3111. Hybrid Systems to Boost EEG-Based Real-Time Action Decoding in Car Driving Scenarios · 2021 · Vecchiato, Giovanni · archived
3112. Multisource Data Fusion-based Driver Vigilance State Estimation using Arduino Mega and Node MCU ↗ · 2023 · Yadav, Bommineti Prakash et al. · indexed
3113. A comparison of edge detection algorithm using for driver fatigue detection system ↗ · 2010 · Qingwei Liao et al. · indexed
3114. High Accuracy Driver Identification and Status Monitoring System Research ↗ · 2020 · Yuan, Xiaohan · indexed
3115. Detection of Driver Braking Intention Using EEG Signals During Simulated Driving ↗ · 2019 · Nguyen, Trung-Hau et al. · indexed
3116. A Brain-Controlled Vehicle System Based on Steady State Visual Evoked Potentials · 2022 · Zhang, Zhao et al. · archived
3117. 0292 Differential Utility of Psychomotor Vigilance Test vs. Sleep Latency Tests in Healthy Humans ↗ · 2022 · Chaisilprungraung, Thitaporn et al. · indexed
3118. Study on Detection of Driving Fatigue Based on ECG Collected by a Novel Semi-Dry Electrode ↗ · 2025 · Yao, Wanchao et al. · indexed
3119. Evaluating Automatic Braking Mechanisms for Reducing Driver Fatigue in Low‐Speed Traffic Conditions: A Systematic Review ↗ · 2025 · Ahmad, Salmiah et al. · indexed
3120. A Portable Multi-Modal Cushion for Continuous Monitoring of a Driver’s Vital Signs · 2023 · Linschmann, Onno et al. · archived
3121. Research on Driver Drowsiness and Distraction Detection System ↗ · 2026 · Lade, Eshwari · indexed
3122. An EEG-Based Multi-Classification Method of Braking Intentions for Driver-Vehicle Interaction ↗ · 2019 · Wang, Huikang et al. · indexed
3123. Hybrid framework of fatigue: connecting motivational control and computational moderators to gamma oscillations ↗ · 2024 · Borghetti, Lorraine et al. · indexed
3124. CHDS-YOLO: A Fatigue Driving Detection Algorithm in Low-light Environments ↗ · 2025 · Liu, Guanghui et al. · indexed
3125. Drowsiness Detection in the Advanced Driver-Assistance System using YOLO V5 Detection Model ↗ · 2024 · Fauzan Ridho, Muhammad et al. · indexed
3126. Improving Driving Safety by Detecting Negative Emotions with Biological Signals: Which Is the Best? ↗ · 2022 · Habibifar, Naser et al. · indexed
3127. Monitoring and Analyzing Driver Physiological States Based on Automotive Electronic Identification and Multimodal Biometric Recognition Methods ↗ · 2024 · Zhou, Shengpei et al. · indexed
3128. Development of an Abnormal Sign Detection System based on Driver Monitoring and Voice Interaction for Preventing Medical-Condition-Caused Car Accidents ↗ · 2020 · Hayashi, Hiroaki et al. · indexed
3129. Enhancing Driver Safety with Transfer Learning based Deep Learning Models for Drowsiness Detection ↗ · 2024 · Dutta, Stuti et al. · indexed
3130. Research on risk assessment method of subway driver driving fatigue based on AHP-FCE ↗ · 2023 · Zhang, Bei et al. · indexed
3131. Attention-Enhanced Deep Learning Framework for Driver Drowsiness Detection in Intelligent Transportation Systems ↗ · 2025 · Purnima, Kuruma et al. · indexed
3132. Neural network model of human intoxication functional state determining in some problems of transport safety solution · 2018 · Akhmetvaleev, A. M. et al. · archived
3133. Detecting Sequential Human Mental Workload Using U-Net with Continuity-Aware Loss Applied to Streamed Physiological Signals ↗ · 2019 · Xie, Yongquan et al. · indexed
3134. Deep Convolutional Neural Network for Automated Detection of Mind Wandering using EEG Signals · 2019 · Hosseini, Seyedroohollah et al. · archived
3135. The Research and Design of Intelligent Safe-driving Detecting System Based on the Eeg Sensor ↗ · 2018 · Zhou, Yan-ling et al. · indexed
3136. Driver Drowsiness Monitoring System Using Visual Behaviour ↗ · 2025 · SeethaphalapuPreethi et al. · indexed
3137. Use of the psychomotor vigilance test to aid in the selection of risk controls in an air medical transport operation ↗ · 2023 · Mollicone, Daniel J et al. · indexed
3138. Research on Driver Facial Fatigue Detection Based on Yolov8 Model ↗ · 2024 · Zhou, Chang et al. · indexed
3139. Situation Awareness and Fatigue Detection for Semi-Automated Train Driving ↗ · 2025 · Wong, Samuel Zhi-Hao et al. · indexed
3140. 1356 Feasibility and Quality Evaluation of a Web-Based Psychomotor Vigilance Test (PVT) System for Sleep Disorder Patients: A Pilot Study ↗ · 2025 · Bae, Charles et al. · indexed
3141. Smartguard: AI-driven drowsiness and health monitoring for drivers ↗ · 2026 · R, Sharmikha Sree et al. · indexed
3142. Design of Smart Steering Wheel for Unobtrusive Health and Drowsiness Monitoring ↗ · 2021 · Babusiak, Branko et al. · indexed
3143. Enhanced Alert System: ADAS In Driver Drowsiness Detection ↗ · 2025 · Shifna, N.Fathima Shrene et al. · indexed
3144. Investigating 24- to 48-hr Forecast of Offshore Worker Alertness and Vigilance Using Multimodal Sources: A Proactive Fatigue Monitoring Paradigm ↗ · 2024 · Nartey, David et al. · indexed
3145. Intelligent system for monitoring locomotive driver alertness and actions · 2024 · Volodin, Anatoliy et al. · archived
3146. Robust in-vehicle respiratory rate detection using multimodal signal fusion ↗ · 2023 · Warnecke, Joana M. et al. · indexed
3147. Retraction Note to: Application of music in relief of driving fatigue based on EEG signals · 2022 · Wang, Qingjun et al. · archived
3148. Fatigue Detection of Air Traffic Controllers Based on Radiotelephony Communications and Self-Adaption Quantum Genetic Algorithm Optimization Ensemble Learning ↗ · 2022 · Wu, Nan et al. · indexed
3149. Hypoglycemia Vehicle Detection System Using Non-Invasive Sensors Applying Both EEG And HRV Real Time Measures: Neuroergonomics Theoretical Design · 2022 · Aljuaid, Awad · archived
3150. Detecting mind wandering via EEG and facial video features ↗ · 2025 · Tang, Shaohua et al. · indexed
3151. Comparative Analysis of the Yolo Method with the Ear and Mar Methods for Drowsiness Detection in the Driving Performance Index Evaluation Application ↗ · 2026 · Rasyid, Muhammad Akida Jabbar et al. · indexed
3152. Predictive Analytics Based Driver Drowsiness Detection and Health Monitoring System ↗ · 2025 · Gopal, Kanishq Raj et al. · indexed
3153. Recognition of multiple drivers&amp;#x2019; emotional state ↗ · 2008 · Wang, Jinjun et al. · indexed
3154. IoT-based Driver Drowsiness Detection and Alert System using an Eye Blink Sensor ↗ · 2025 · Prashanti, S et al. · indexed
3155. Deep Learning Identifies Brain Cognitive Load Via EEG Signals ↗ · 2020 · Diwakar, Anirudra et al. · indexed
3156. Mobile Application Development for Drowsy Driving Alert Using Convolutional Neural Networks ↗ · 2026 · Gabriel, Yuda et al. · indexed
3157. Real-Time Drowsiness Detection System Using Eye-Blink Sensing and Microcontroller-Based Alert Mechanism ↗ · 2025 · author et al. · indexed
3158. Real-Time Drowsiness and Lane Departure Warning System Using Deep Learning and Embedded Systems ↗ · 2025 · Seo, Donggyu et al. · indexed
3159. Based on tired index of driver to evaluate a forward collision probability index ↗ · 2019 · Chen, Yuan Lin · indexed
3160. The Oxford Sleep Resistance test (OSLER) and the Multiple Unprepared Reaction Time Test (MURT) Detect Vigilance Modifications in Sleep Apnea Patients ↗ · 2014 · Alakuijala, Anniina et al. · indexed
3161. Study on Driver Cross-Subject Emotion Recognition Based on Raw Multi-Channels EEG Data ↗ · 2023 · Wang, Zhirong et al. · indexed
3162. Slow-wave activity surrounding stage N2 K-complexes and daytime function measured by psychomotor vigilance test in obstructive sleep apnea ↗ · 2018 · Parekh, Ankit et al. · indexed
3163. Driving Style Classification by Analyzing EEG Responses to Unexpected Obstacle Dodging Tasks ↗ · 2006 · Lin, Chin-Teng et al. · indexed
3164. Drowsiness Detection Using CNN-LSTM ↗ · 2025 · S, Vijayalakshmi · indexed
3165. The Walter Reed palm-held psychomotor vigilance test ↗ · 2005 · Thorne, David R. et al. · indexed
3166. An Effective Entropy-Assisted Mind-Wandering Detection System Using EEG Signals of MM-SART Database ↗ · 2022 · Chen, Yi-Ta et al. · indexed
3167. A Driver Reaction Time Detection System Design ↗ · 2022 · Cheng, Yuhui et al. · indexed
3168. Emotion and Gesture Recognition with Soft Computing Tool for Drivers Assistance System in Human Centered Transportation ↗ · 2013 · Agrawal, Urvashi et al. · indexed
3169. Analysis of Physiological Parameters and Driver Posture for Prevention of Road Accidents: A Review ↗ · 2025 · Babur, Alparslan et al. · indexed
3170. Integration of Yolov5 for Enhanced Driver Safety through Facial Recognition and Drowsiness Monitoring ↗ · 2025 · Suartika, I Made et al. · indexed
3171. Next-Gen Driver Vigilance in Revolutionizing Road Safety by Deep Learning Approach ↗ · 2025 · Kumar, Vinay et al. · indexed
3172. Toward Inference Consistency: Polynomial-Driven Control Synthesis of Shared Steering Systems via Interval Type-2 Fuzzy Fatigue Monitoring ↗ · 2026 · Yan, Zhenyang et al. · indexed
3173. LiteFat: Lightweight Spatio-Temporal Graph Learning for Real-Time Driver Fatigue Detection ↗ · 2025 · Ren, Jing et al. · indexed
3174. Detection of Driver Emergency Steering Intention Using EMG Signal ↗ · 2020 · Feleke, Aberham Genetu et al. · indexed
3175. Multi-Bin Breathing Pattern Estimation by Radar Fusion for Enhanced Driver Monitoring ↗ · 2023 · Gharamohammadi, Ali et al. · indexed
3176. PERCLOS as an Indicator of Slow-Onset Hypoxia in Aviation ↗ · 2018 · Thropp, Jennifer E. et al. · indexed
3177. Driver Drowsiness Detection using Machine Learning and AWS IoT ↗ · 2025 · Murugadass, Chandramathi et al. · indexed
3178. A Novel Neural Network Model Based on Real Mountain Road Data for Driver Fatigue Detection ↗ · 2025 · Peng, Dabing et al. · indexed
3179. Non-contact driver cardiac physiological monitoring using video data ↗ · 2015 · Qi, Huan et al. · indexed
3180. Feasibility of application-based psychomotor vigilance testing to assess fatigue in doctors working night shifts and correlation with smartwatch assessed shift intensity ↗ · 2024 · Weetman, Stefan et al. · indexed
3181. Edge-AI Enabled Smart Helmet: A Lightweight Drowsiness Monitoring Framework for Motorcyclists ↗ · 2026 · Y, Tejas et al. · indexed
3182. Real-Time Driver Drowsiness Detection for Road Safety using Hybrid YOLOv8 and CNN Approach ↗ · 2025 · Vasanth, Madana Victor et al. · indexed
3183. IMU-Based Early Warning System for Driver Drowsiness Detection via Head Movement Analysis ↗ · 2025 · Nurnaningsih, Desi et al. · indexed
3184. Dynamic Distribution Alignment With Dual-Subspace Mapping for Cross-Subject Driver Mental State Detection ↗ · 2022 · Cui, Jin et al. · indexed
3185. A real time classifier for emotion and stress recognition in a vehicle driver ↗ · 2012 · Paschero, M. et al. · indexed
3186. Enhancing Rail Transit Safety: Edge Computing‐Based Driver State Monitoring System ↗ · 2026 · Liu, Yiqing et al. · indexed
3187. Neuro-cognitive AI-driven system for preventing road accidents through driver drowsiness alerts ↗ · 2026 · Mahapatra, Chitaranjan et al. · indexed
3188. Attention-Guided Lightweight MobileNetV2 for Real-Time Driver Drowsiness Classification on Edge-IoT Systems ↗ · 2026 · Giap, Yo Ceng et al. · indexed
3189. Evaluation of driver status in autonomous vehicles: using thermal infrared imaging and other physiological measurements ↗ · 2019 · Kajiwara, Shinji · indexed
3190. Driver Drowsiness Detection Based System and Alert System Using Deep Learning Models ↗ · 2026 · PRIYA, P.BINDU et al. · indexed
3191. 3115 Analysis on EEG of a driver manipulating a driving simulator with PARAFAC · 2008 · NAKANO, Kimihiko et al. · archived
3192. End-to-End Tri-Modal Deep Learning for Cognitive Load: CNN-BiLSTM EEG, CNN-LSTM Physiology, and Dense Gaze Fusion on CLARE ↗ · 2026 · Rajesh, Jyothika et al. · indexed
3193. Driver Fatigue Detection Using Image Processing ↗ · 2019 · Raj, Radhika et al. · indexed
3194. A New Ambulatory Arousal Level Monitor Utilizing the Skin Potential Level ↗ · 1992 · Kodama, Satoru et al. · indexed
3195. Robust In-Vehicle Heartbeat Detection Using Multimodal Signal Fusion ↗ · 2023 · Warnecke, Joana M. et al. · indexed
3196. La modélisation numérique au service de la détection de la fatigue mentale ↗ · 2025 · Lambert, A. et al. · indexed
3197. Real-Time Driver Drowsiness Detection System using IoT-based Physiological Monitoring and Web Interface ↗ · 2025 · Kumar, K. Sambath et al. · indexed
3198. Comparing coping strategies, accident history and driving simulator (MiniUoLDS) outcome in obstructive sleep apnoea syndrome (OSAS) patients and controls ↗ · 2014 · Dwarakanath, Akshay et al. · indexed
3199. Research on Human-machine Lateral Cooperative Control of Co-driving Vehicle Considering Driver Fatigue Characteristics ↗ · 2023 · Liu, Xin et al. · indexed
3200. PC-PVT 2.0: An updated platform for psychomotor vigilance task testing, analysis, prediction, and visualization ↗ · 2018 · Reifman, Jaques et al. · indexed
3201. Studi Komparasi Algoritma Klasifikasi Mental Workload Berdasarkan Sinyal EEG · 2020 · Dessy Kusumaningrum et al. · archived
3202. Multimodal Mental Workload Classification Using Maus Dataset ↗ · 2023 · Sethi, Amanrosekaur et al. · indexed
3203. Integration of Explainable Artificial Intelligence and Multimodal Machine Learning for Drivers’ Fitness ↗ · 2025 · Ahmed, Mobyen Uddin et al. · indexed
3204. Driver monitoring system for automotive safety ↗ · 2018 · Lörincz, A E et al. · indexed
3205. Lightweight and Real-Time Improvement of Yolov8n Model for Driving Fatigue Detection ↗ · 2025 · Zhang, Junhui et al. · indexed
3206. IoT Cyber-physical System with Computer Vision for Driver Drowsiness Monitoring in e-Health Applications ↗ · 2026 · Yauri, Ricardo et al. · indexed
3207. Real Time Prevention of Driver Fatigue Using Deep Learning and MediaPipe ↗ · 2023 · Dalve, Swapnil et al. · indexed
3208. Machine Learning based Prediction of Situational Awareness in Pilots using ECG Signals ↗ · 2021 · Rajendran, Anushri et al. · indexed
3209. Deep Learning-Based Facial Emotion Recognition for Driver Healthcare ↗ · 2022 · Sahoo, Goutam Kumar et al. · indexed
3210. Modular deep residual network for driver stress detection based on photoplethysmography ↗ · 2025 · Cvetkovic, Stevica et al. · indexed
3211. Driver physiological parameters monitoring–initial study in real-road driving ↗ · 2024 · Radev, Hristo et al. · indexed
3212. Deep Learning Analyses of Brain MRI to Identify Sustained Attention Deficit in Treated Obstructive Sleep Apnea: A Pilot Study ↗ · 2022 · Agarwal, Chirag et al. · indexed
3213. Study on Peppermint Scent Interventions for Fatigue Driving ↗ · 2023 · Jiang, Xinyue et al. · indexed
3214. Intelligent Driver Emotion Monitoring Based on Lightweight Multilayer Random Forests ↗ · 2019 · Jeong, Mira et al. · indexed
3215. Dual channel Electrodermal activity sensor for motion artifact removal in car drivers’ stress detection ↗ · 2019 · Affanni, Antonio et al. · indexed
3216. SSA with CWT and k-Means for Eye-Blink Artifact Removal from Single-Channel EEG Signals ↗ · 2022 · Maddirala, Ajay Kumar et al. · indexed
3217. Driver Drowsiness Detection using AI ↗ · 2025 · B, Raghuvendra Rao et al. · indexed
3218. MMDrive: Multi-Modal Remote Physiological Signal Measurement Dataset for Driver Status Monitoring ↗ · 2025 · Choi, Jiho et al. · indexed
3219. Lightweight Research on Fatigue Driving Face Detection Based on YOLOv8 ↗ · 2026 · Lifeng, Yin et al. · indexed
3220. SparsePPG: Towards Driver Monitoring Using Camera-Based Vital Signs Estimation in Near-Infrared ↗ · 2018 · Nowara, Ewa Magdalena et al. · indexed
3221. Real-Time Driver State and Surrounding Awareness System with Lane Departure, Drowsiness, and Blind-Spot Detection ↗ · 2025 · Patil, Shital et al. · indexed
3222. Utility of the psychomotor vigilance task in screening for obstructive sleep apnoea ↗ · 2024 · Ma, Jingru et al. · indexed
3223. A Novel Wearable Forehead EOG Measurement System for Human Computer Interfaces ↗ · 2017 · Heo, Jeong et al. · indexed
3224. 0571 Impact of CPAP Adherence on Objective and Subjective Sleepiness Measures ↗ · 2024 · Schwab, Allison et al. · indexed
3225. Why nonlinear models matter: unified analysis of cognitive load, stress, and exercise using wearable physiological signals ↗ · 2026 · Shahriar, Khondakar Ashik · indexed
3226. Research on Driver Fatigue Detection in Real Driving Environments Based on Semi-Dry Electrodes with Automatic Conductive Fluid Replenishment ↗ · 2025 · Wang, Fuwang et al. · indexed
3227. Unobtrusive Multimodal Monitoring of Physiological Signals for Driver State Analysis ↗ · 2025 · Amidei, Andrea et al. · indexed
3228. LSTM-Based Intention Classification System for PV Driving Direction using SSVEP and Gaze Position of Users ↗ · 2025 · Jogamine, Tao et al. · indexed
3229. Unsupervised Clustering of Individuals Sharing Selective Attentional Focus Using Physiological Synchrony ↗ · 2022 · Stuldreher, Ivo V. et al. · indexed
3230. A Hybrid Asynchronous Brain–Computer Interface Based on SSVEP and Eye-Tracking for Threatening Pedestrian Identification in Driving ↗ · 2022 · Sun, Jianxiang et al. · indexed
3231. Driver Drowsiness Detection Using Vision Transformer ↗ · 2024 · Bin Mohamad Azmi, Muhammad Muizuddin et al. · indexed
3232. A Brain-Inspired Decision-Making Linear Neural Network and Its Application in Automatic Drive ↗ · 2021 · Sun, Tianjun et al. · indexed
3233. Adaptation of a clinical practice guideline for Maintenance of Wakefulness Test (MWT) ↗ · 2020 · Sadeghniiat-Haghighi, Kh et al. · indexed
3234. Real-Time EEG-Based Drowsiness Detection with IoT-Enabled Vehicle Safety Alert System ↗ · 2025 · Anand, Amal et al. · indexed
3235. A Novel Method for Facial Expression-Based Driver Drowsiness Detection Leveraging Siamese Network in Adas Applications ↗ · 2025 · Seyfipoor, Mahdi et al. · indexed
3236. Evaluation of tractor driving vibration fatigue based on multiple physiological parameters ↗ · 2021 · Gao, Ruitao et al. · indexed
3237. Infrared-based facial points tracking and action units detection in context of car driving simulator ↗ · 2012 · Zadeh Varcheie, Parisa Darvish et al. · indexed
3238. A BCI Driving System to Understand Brain Signals Related to Steering ↗ · 2021 · Zero, Enrico et al. · indexed
3239. Toward Measuring Target Perception: First-Order and Second-Order Deep Network Pipeline for Classification of Fixation-Related Potentials ↗ · 2020 · Zeng, Hong et al. · indexed
3240. Evaluation of a Dry EEG System for Application of Passive Brain-Computer Interfaces in Autonomous Driving ↗ · 2017 · Zander, Thorsten O. et al. · indexed
3241. Driver Drowsiness Detection System Using Convolutional Neural Network ↗ · 2025 · R., Sarankumar et al. · indexed
3242. Machine learning validation of EEG+tACS artefact removal · 2020 · Kohli, Siddharth et al. · archived
3243. Enhancement of steady‐state visual evoked potential‐based brain–computer interface systems via a steady‐state motion visual stimulus modality ↗ · 2017 · Punsawad, Yunyong et al. · indexed
3244. Investigation on the Correlation between Eye Movement and Reaction Time under Mental Fatigue Influence ↗ · 2018 · Renata, Vianney et al. · indexed
3245. AI-Powered Driver Drowsiness Monitoring and Music Recommendation System ↗ · 2026 · M, Harikumar et al. · indexed
3246. A Test for the Determination of Sustained Attention in Patients with Obstructive Sleep Apnea Syndrome ↗ · 2000 · Randerath, Winfried J. et al. · indexed
3247. A Study of Comparing Deep Neural Networks for Classifying Driver Steering Characteristics ↗ · 2023 · Ryu, Ho-Ju et al. · indexed
3248. Severe desaturations increase psychomotor vigilance task-based median reaction time and number of lapses in obstructive sleep apnoea patients ↗ · 2020 · Kainulainen, Samu et al. · indexed
3249. Integrated Charging with Neural Networks for Fusion Sensors of Driver Monitoring System ↗ · 2021 · Lai, Wen-Cheng · indexed
3250. Advancing EEG Research on Human Emotions Through Deep Learning Models · 2025 · Wu, Yanbing · archived
3251. Driver Monitoring based on Drowsiness and Yawning using YOLOv8 ↗ · 2024 · Aote, Shailendra S. et al. · indexed
3252. Driving Cycle Distinguishing Based on the Kernel Principal Component and Semi-supervised Kernel Fuzzy C Means Clustering Algorithm ↗ · 2015 · ZHANG, Niaona · indexed
3253. Cognitive Load Estimation From Speech Commands to Simulated Aircraft ↗ · 2021 · Vukovic, Maria et al. · indexed
3254. Advanced Driver Safety: A Steering Wheel Prototype for Real-Time Physiological and Kinematic Monitoring ↗ · 2026 · Šmondrk, Maroš et al. · indexed
3255. A Graph-Discriminative Low-Rank Embedding Approach for Fusion of EEG and Eye Tracking in Depression Recognition · 2026 · Sun, Wu et al. · archived
3256. Assessment of Scalability and Adaptability in Federated Learning Framework for Robust Driver Stress Monitoring ↗ · 2025 · S, Arun Kumar et al. · indexed
3257. Live Demonstration of Portable Systems based on Silicon Sensors for the monitoring of Physiological Parameters of Driver Drowsiness and Pulse Wave Velocity ↗ · 2018 · Conoci, Sabrina et al. · indexed
3258. <i>CogniMoE</i> : End-to-End Multimodal Mental Workload Classification via On-the-Fly Scalogram Generation and MoE Gating ↗ · 2026 · Ismaylovna, Kenesbaeva Periyzat et al. · indexed
3259. Smart driving with AI: A review of CNN approaches to drowsiness detection ↗ · 2026 · Rabbi, Riadul Islam et al. · indexed
3260. Instantaneous Mental Workload Classification Using Semi-Supervised Learning ↗ · 2019 · Zhang, Jianhua et al. · indexed
3261. Optimal Loop Placement and Models for Length-Based Vehicle Classification and Stop-and-Go Traffic ↗ · 2011 · Wei, Heng et al. · indexed
3262. Research on the Application of YOLO8 Model in Driver Fatigue Monitoring ↗ · 2025 · Wu, Xuanpeng et al. · indexed
3263. Wearable Real-Time Heart Attack Detection and Warning System to Reduce Road Accidents ↗ · 2019 · Chowdhury, Muhammad et al. · indexed
3264. Advanced Driver Assistance System (ADAS) for Automated Turning and Fatigue Monitoring ↗ · 2025 · Gandhi, R R Rubia et al. · indexed
3265. Deep Subdomain Adaptation Network Improves Cross-Subject Mental Workload Classification ↗ · 2024 · Sun, Wu et al. · indexed
3266. Hybrid EEG-EOG-based BCI system for Vehicle Control ↗ · 2021 · Olesen, Simon Dahl Thorsager et al. · indexed
3267. Primal and dual first order methods for SVM: applications to driver monitoring ↗ · 2018 · Lupu, Daniela et al. · indexed
3268. Real-Time Pilot Fatigue Monitoring: A YOLO-Based Deep Learning Approach ↗ · 2025 · Peng, Jiayi · indexed
3269. Highly sensitive driver condition monitoring system using nonintrusive active electrodes ↗ · 2012 · Jung, S. J. et al. · indexed
3270. Research on the Optimal Machine Learning Classifier for Traffic Signs · 2022 · Wang, Boyu · archived
3271. An embedded system remotely driving mechanical devices by P300 brain activity ↗ · 2017 · De Venuto, D. et al. · indexed
3272. EEG Based Brain-Controlled Vehicle · 2026 · M, Raman Kumar · archived
3273. Enhanced Road Safety Through Intelligent Lane Detection and Driver Drowsiness Monitoring ↗ · 2024 · Arunpandian, J. et al. · indexed
3274. The impact of cross-validation choices on pBCI classification metrics: lessons for transparent reporting ↗ · 2025 · Schroeder, Felix et al. · indexed
3275. Data-driven subtyping of early Parkinson’s disease via mutual cross-attention fusion of EEG and dual-task gait features · 2026 · Wang, Deyu et al. · archived
3276. 0538 CPAP TREATMENT IMPROVES LAPSE COUNT ON PSYCHOMOTOR VIGILANCE TASK TESTING IN PATIENTS WITH OSA: RESULTS OF A PILOT STUDY ↗ · 2017 · Bhat, S et al. · indexed
3277. Smartphone-based monitoring of heart rate variability and resting heart rate predicts variability in symptom exacerbations in people with complex chronic illness ↗ · 2024 · Aitken, Annie et al. · indexed
3278. Classification Techniques in Machine Learning for Age-related Electroencephalography Data Analysis ↗ · 2023 · Javaid, Hamad et al. · indexed
3279. Design of driver fatigue warning system based on facial multi-feature fusion ↗ · 2024 · long, haonan et al. · indexed
3280. Multimodal Data Fusion Architecture for Real-Time Physiological and Vehicular Signal Processing in Driving Contexts ↗ · 2025 · Jiménez Aguilar, Bryan Alexis et al. · indexed
3281. EEG Data Compression using Truncated Singular Value Decomposition for Remote Driver Status Monitoring ↗ · 2019 · Alam, M.K. et al. · indexed
3282. A Novel Deep Learning-Assisted Truck Driver Drowsiness Record using Blockchain Technology ↗ · 2023 · Nwankwo, Odinachi Udemezuo et al. · indexed
3283. Efficient Eye State Detection for Driver Fatigue Monitoring Using Optimized YOLOv7-Tiny ↗ · 2024 · Chang, Gwo-Ching et al. · indexed
3284. Design Mechanism of Intelligent Fatigue Driving Behavior Detection System Based on Machine Vision ↗ · 2024 · Yu, Qiao · indexed
3285. Behavior Based Human Driver Fatigue Detection System Using Deep Learning ↗ · 2023 · Baravkar, Prof. Pooja V · indexed
3286. Automotive sound quality evaluation model based on EEG signal ↗ · 2023 · Li, Na et al. · indexed
3287. AdaptEEG: A Deep Subdomain Adaptation Network With Class Confusion Loss for Cross-Subject Mental Workload Classification ↗ · 2025 · Sun, Wu et al. · indexed
3288. Wearable RealTime Heart Attack Detection and Warning System to Reduce Car Accidents in Qatar ↗ · 2018 · Chowdhury, Muhammad E.H. et al. · indexed
3289. Performance Evaluation of YOLO Models for Real-Time Drowsiness Monitoring in Intelligent Vehicles ↗ · 2025 · Azhar, M Tsani Faishal et al. · indexed
3290. An Intelligent Embedded System for Driver Fatigue Monitoring and Automated Emergency Response with Vehicle Intervention. ↗ · 2026 · RAVALI, K.MOHANA et al. · indexed
3291. Electrocardiogram-Based Driver Authentication Using Autocorrelation and Convolutional Neural Network Techniques ↗ · 2024 · Ku, Giwon et al. · indexed
3292. A Single-Trial P300 Detector Based on Symbolized EEG and Autoencoded-(1D)CNN to Improve ITR Performance in BCIs ↗ · 2021 · De Venuto, Daniela et al. · indexed
3293. Attention-Based PSO-LSTM for Emotion Estimation Using EEG ↗ · 2024 · Oka, Hayato et al. · indexed
3294. Research on the Application of Mechanical Automation Feedback Control in Vehicle Stability Control Under Fatigue Driving State ↗ · 2024 · Wu, Linrui · indexed
3295. DrowseGuard – DeepAlert Driver Vigilance System ↗ · 2024 · Awachat, Snehal et al. · indexed
3296. Automated Vehicle Monitoring Framework based on Machine Learning Architecture for People with Cardiovascular Diseases ↗ · 2023 · Srinivas, Rayudu et al. · indexed
3297. EEG-GAN: A Generative EEG Augmentation Toolkit for Enhancing Neural Classification · 2025 · Williams, Chad et al. · archived
3298. Real-Time FPGA-Based ADAS Solution for Driver Drowsiness Detection and Autonomous Stopping ↗ · 2025 · Almomany, Abedalmuhdi et al. · indexed
3299. Event-Driven Neuromorphic Architecture for Energy-Efficient Driver Distraction Detection ↗ · 2026 · Song, Wei · indexed
3300. Freeway traffic state classification using vehicle trajectory data ↗ · 2026 · Cheng, Rende et al. · indexed
3301. Reduction of Artifacts in Capacitive Electrocardiogram Signals of Driving Subjects ↗ · 2021 · Škorić, Tamara · indexed
3302. Driver Identification System Using Normalized Electrocardiogram Based on Adaptive Threshold Filter for Intelligent Vehicles ↗ · 2020 · Choi, Gyu Ho et al. · indexed
3303. Motion control of a four-wheel-independent-drive electric vehicle by motor imagery EEG based BCI system ↗ · 2017 · Zhuang, Jiayu et al. · indexed
3304. Estimation of Driver Fatigue by using Eye Blink Movement ↗ · 2022 · Deshpande, Abhinav · indexed
3305. Smart alarms towards optimizing patient ventilation in intensive care: the driving pressure case ↗ · 2019 · Koutsiana, Elisavet et al. · indexed
3306. Hidden Markov Model based classification approach for multiple dynamic vehicles in wireless sensor networks ↗ · 2010 · Aljaafreh, Ahmad et al. · indexed
3307. Inpainting for artifact restoration in rPPG signals: a tool for real-world applicability in wellness and driver monitoring systems ↗ · 2026 · Nieto-Del-Amor, Félix et al. · indexed
3308. Fault Tolerant Control and Classification for Longitudinal Vehicle Control ↗ · 2003 · Song, Bongsob et al. · indexed
3309. From Lab to Life: Enhancing Wearable Airbag Fall Detection Performance with Minimal Real-World Data ↗ · 2025 · Embry, Kyle et al. · indexed
3310. Empirical Comparison of Cross-Validation and Test Data on Internet Traffic Classification Methods ↗ · 2019 · Jonathan, Oluranti et al. · indexed
3311. Throttle and Brake Control Using Fuzzy-Neural Algorithm in Car Following ↗ · 2022 · Bugayong, Albert Paolo P. et al. · indexed
3312. An enhanced fatigue residual life prediction model based on fatigue driving stress by considering loading interaction effects ↗ · 2023 · Zhao, Xu et al. · indexed
3313. Multimodal consumer choice prediction using EEG signals and eye tracking ↗ · 2025 · Usman, Syed Muhammad et al. · indexed
3314. Recurrent Auto-Encoding Drift Diffusion Model ↗ · 2017 · Vincent, Moens et al. · indexed
3315. Comparative Assessment of Machine Learning Models in EEG-Based Sentence Classification ↗ · 2024 · Şahin, Emrullah et al. · indexed
3316. Online BCI systems: cross-subject motor imagery classification based on weighted time-domain feature extraction methods ↗ · 2024 · Yang, Cheng et al. · indexed
3317. Comparative analysis of ROCKET-driven and classic EEG features in predicting attachment styles ↗ · 2024 · Mizrahi, Dor et al. · indexed
3318. Adaptive Threshold Generation for Vehicle Fault Detection Using Switched T–S Interval Observers ↗ · 2020 · Ifqir, Sara et al. · indexed
3319. Facial Expressions Based Automatic Pain Assessment System ↗ · 2022 · Alghamdi, Thoria et al. · indexed
3320. Adaptive battery state-of-health estimation for electric vehicles under diverse driving styles using reinforcement learning. · 2026 · Singh, S et al. · archived
3321. Analysis of unsupervised learning approach for classification of vehicle fuel type using psychoacoustic features ↗ · 2024 · Milivojčević, Marko et al. · indexed
3322. Tree-Based Personalized Clustered Federated Learning: A Driver Stress Monitoring Through Physiological Data Case Study ↗ · 2025 · Rafi, Houda et al. · indexed
3323. Deep Neural Network Based Vehicle and Pedestrian Detection for Autonomous Driving: A Survey ↗ · 2021 · Chen, Long et al. · indexed
3324. Ground vehicle classification based on Hierarchical Hidden Markov Model and Gaussian Mixture Model using wireless sensor networks ↗ · 2010 · Aljaafreh, Ahmad et al. · indexed
3325. A fatigue driving energy approach to high‐cycle fatigue life estimation under variable amplitude loading ↗ · 2015 · Peng, Z. et al. · indexed
3326. DATA MINING IMPLEMENTATION FOR DETECTION OF ANOMALIES IN NETWORK TRAFFIC PACKETS USING OUTLIER DETECTION APPROACH ↗ · 2023 · Setiawan, Kurnia et al. · indexed
3327. An Adaptive Algorithm for Battery Charge Monitoring based on Frequency Domain Analysis ↗ · 2021 · Ganguly, Poulomi et al. · indexed
3328. An effective stacked autoencoder based depth separable convolutional neural network model for face mask detection ↗ · 2023 · Balasubaramanian, Sundaravadivazhagan et al. · indexed
3329. DELP-Net: A Differentiable Entropy Layer Pyramid Network for End-to-End Low-Rate DoS Detection ↗ · 2026 · Wang, Jinyi et al. · indexed
3330. Switched Causal Modeling of Transmission With Clutch in Hybrid Electric Vehicles ↗ · 2008 · Lhomme, W. et al. · indexed
3331. Non-Cantilever Fatigue Remaining-Life Simulation Software Using Probabilistic Wind Model for All Counties in Kansas · 2025 · Al Shboul, Khalid W et al. · archived
3332. State of Charge Estimation for Lithium-Ion Battery Using Recurrent NARX Neural Network Model Based Lighting Search Algorithm ↗ · 2018 · Lipu, Molla S. Hossain et al. · indexed
3333. Recursive Dictionary Learning Approach Exploiting Between-Channel Correlations for EEG Signal Reconstruction ↗ · 2020 · Vazifehkhahi, Masoud et al. · indexed
3334. Network Traffic Classifier With Convolutional and Recurrent Neural Networks for Internet of Things ↗ · 2017 · Lopez-Martin, Manuel et al. · indexed
3335. eNSMBL-PASD: Spearheading early autism spectrum disorder detection through advanced genomic computational frameworks utilizing ensemble learning models ↗ · 2025 · Karim, Ayesha et al. · indexed
3336. Hierarchical learning for fine grained internet traffic classification ↗ · 2012 · Grimaudo, Luigi et al. · indexed
3337. Meta-Learning for ECG Abnormality Detection During Driving Using a Smart Steering Wheel Device ↗ · 2025 · Dong, Zisu et al. · indexed
3338. Classification of Small UAVs Based on Auxiliary Classifier Wasserstein GANs ↗ · 2018 · Zhao, Caidan et al. · indexed
3339. Accelerated Fatigue Tests of BS 080A42 Steel Using the WBE Mission Loadings ↗ · 2006 · Abdullah, Shahrum et al. · indexed
3340. Screening of potential biomarkers in peripheral blood of patients with depression based on weighted gene co-expression network analysis and machine learning algorithms ↗ · 2022 · Wang, Zhe et al. · indexed
3341. A Novel 10-Parameter Motor Efficiency Model Based on I-SA and Its Comparative Application of Energy Utilization Efficiency in Different Driving Modes for Electric Tractor ↗ · 2022 · Cheng, Zhun et al. · indexed
3342. Optimized implementation of an improved KNN classification algorithm using Intel FPGA platform: Covid-19 case study ↗ · 2022 · Almomany, Abedalmuhdi et al. · indexed
3343. Modeling of an Automotive Planetary Gear Set Based on Karnopp Model for Clutch Friction ↗ · 2003 · Deur, Josˇko et al. · indexed
3344. Energy and Battery Management of a Plug-In Series Hybrid Electric Vehicle Using Fuzzy Logic ↗ · 2011 · Li, S. G. et al. · indexed
3345. A 10Gb/s burst-mode/continuous-mode laser driver with current-mode extinction-ratio compensation circuit ↗ · 2006 · Day-Uei Li et al. · indexed
3346. Li-ion battery parameter estimation for state of charge ↗ · 2011 · Tang, Xidong et al. · indexed
3347. iDLB-Pred: identification of disordered lipid binding residues in protein sequences using convolutional neural network ↗ · 2024 · Malebary, Sharaf J. et al. · indexed
3348. Blockchain-Assisted Machine Learning with Hybrid Metaheuristics-Empowered Cyber Attack Detection and Classification Model ↗ · 2023 · Albakri, Ashwag et al. · indexed
3349. A Dynamic Intrusion Detection System through Attention Self Supervised Convolutional Neural Networks ↗ · 2024 · A, NAZREEN BANU et al. · indexed
3350. Estimating Sea Surface Salinity in the East China Sea Using Satellite Remote Sensing and Machine Learning ↗ · 2023 · Liu, Jing et al. · indexed
3351. EEG-BASED TNN for Driver Vigilance Monitoring ↗ · 2023 · Sia, Justin et al. · indexed
3352. Machine Learning Accelerated PDE Backstepping Observers · 2022 · Shi, Yuanyuan et al. · archived
3353. Data-Driven Approaches for State-of-Charge Estimation in Battery Electric Vehicles Using Machine and Deep Learning Techniques ↗ · 2024 · El-Sayed, Ehab Issa et al. · indexed
3354. Machine Learning-Based Adaptive Synthetic Sampling Technique for Intrusion Detection ↗ · 2023 · Zakariah, Mohammed et al. · indexed
3355. Empirical Electrical and Degradation Model for Electric Vehicle Batteries · 2020 · Saldana, Gaizka et al. · archived
3356. A Novel Energy Aware Secure Internet of Drones Design: ESIoD ↗ · 2021 · Sarkar, Sayani et al. · indexed
3357. Comparison of Real-time Online and Offline Neural Network Models for a UAV ↗ · 2007 · Puttige, Vishwas R. et al. · indexed
3358. DDoS Detection and Prevention in Educational Internet of Things (EIoT) Using Hybridised Convolutional Neural Networks (CNNs) and AI ↗ · 2026 · Onoja, Emmanuel et al. · indexed
3359. A comparative study between causal and non-causal algorithms for the energy management of hybrid storage systems ↗ · 2013 · Pinto, Cláudio et al. · indexed
3360. Enhancing the performance of the aggregated bit vector algorithm in network packet classification using GPU ↗ · 2019 · Abbasi, Mahdi et al. · indexed
3361. A Variational Bayes Based State-of-Charge Estimation for Lithium-Ion Batteries Without Sensing Current · 2021 · Hou, Jing et al. · archived
3362. H∞ Switched Observer Design for Fault-Tolerant State-of-Charge Estimation of Lithium-Ion Batteries ↗ · 2026 · EL YOUSSFI, Naoufal · indexed
3363. Modeling and Computational Methods for Kinetic Equations · 2004 · Degond, Pierre et al. · archived
3364. Comparison of the performance of skip lists and splay trees in classification of internet packets ↗ · 2019 · Khezrian, Navid et al. · indexed
3365. COMPARISON OF MODELS OF MAGNETIZATION CURVES AND HYSTERESIS LOOPS ACCORDING TO THE GILES-ATHERTON MODEL FOR SOFT MAGNETIC AMORPHOUS ALLOYS ↗ · 2023 · I.M., Bedritsky et al. · indexed
3366. ASPECTS REFERRING TO FATIGUE TESTING OF EPOXY POLYMERIC MATERIALS ↗ · 2020 · HUMELNICU, Costel et al. · indexed
3367. Enhancing the LCO 18,650 Battery Charging/Discharging Using Temperature and Electrical Based Model ↗ · 2022 · Al-Refai, Abdullah et al. · indexed
3368. A 1-MHz leakage-compensating bootstrap driver for normally-on depletion-mode GaN FET ↗ · 2017 · Lee, Yoontaek et al. · indexed
3369. A Systematic Review of Quantum Deep Learning Architectures for Image Classification ↗ · 2026 · Daraan, Saleha et al. · indexed
3370. AI-Based Models for Identifying Underdeveloped Villages in Indonesia's Rural Development ↗ · 2024 · Al Azies, Harun · indexed
3371. Dynamical downscaling of CSIRO‐Mk3.6 seasonal forecasts over Iran with the regional climate model version 4 ↗ · 2019 · Alizadeh‐Choobari, Omid · indexed
3372. COMPLEXITY OF SHORT GENERATING FUNCTIONS ↗ · 2018 · NGUYEN, DANNY et al. · indexed
3373. Quantifying the Impact of Climate Change on Marine Diazotrophy: Insights From Earth System Models ↗ · 2020 · Wrightson, Lewis et al. · indexed