eeg

Electroencephalography.

1352 papers carry this instruments & measures tag, of 9327 that declare a instruments & measures at all (62594 papers carry any topic). Absence here means undeclared, not absent.

Where this appears in the corpus

• Driver State Monitoring (DMS) 1069 papers
• Cognitive Workload 867 papers
• Fatigue & Alertness 737 papers
• Driver Distraction 163 papers
• Commercial & Heavy Vehicle Drivers 70 papers
• Driver Psychology, Style & Traits 56 papers
• Individual Differences (Driver Population) 54 papers
• Visual Perception & Hazard Perception in Driving 45 papers
• Vehicle Automation & ADAS 44 papers
• Driver Behavior 28 papers
• Cognitive Psychology Foundations 26 papers
• Environment, Road & Weather 22 papers

Most common topics

• drowsiness detection algorithms843
• neuro workload indices452
• drowsiness365
• workload measurement245
• microsleep165
• distraction detection algorithms125
• vigilance117
• mental demand116
• truck driver fatigue70
• gaze based attention detection55
• cognitive capacity variation51
• time on task51

Papers

Newest 200 shown. For the full set, or to combine this with a topic, use the catalogue search.

1. EEG-based Negative Emotion Classification while Self Driving in a Simulated Environment · 2026 · Abd Halin, Abdul Hafiz et al.
2. Hybrid deep learning for mental workload classification using EEG with enhanced preprocessing and interpretability · 2026 · Abdelrahman, Osama et al.
3. Validation of EEG mental workload markers using integrated statistical and machine learning analyses ↗ · 2026 · Alhothali, Abdullah Saleh et al.
4. A self-attention domain adaptation network based on Riemannian representation and contrastive learning for EEG driver drowsiness detection ↗ · 2026 · AlMajed, Reham et al.
5. Real-time monitoring of driver cognitive states: linking driving behavior to neural oscillations ↗ · 2026 · Alyan, Emad et al.
6. Cognitive workload and anticipatory processes during pedestrian time-to-arrival estimation: Evidence from EEG in an immersive virtual reality road-crossing scenario ↗ · 2026 · Armada, Victor et al.
7. Mental workload classification using EEG in drivers: A personalized approach to occupational risk reduction ↗ · 2026 · Atici-Ulusu, Hilal et al.
8. Connected Embedded System for Drowsiness Detection Based on a Reconfigurable Set of Features ↗ · 2026 · Belakhdhar, Ibtissam
9. The Error‐Related Negativity ( <scp>ERN</scp> ) and the Reward Positivity ( <scp>R</scp> ew <scp>P</scp> ) Event‐Related Potentials: Comparison Between a Dry Electrode and a Gel‐Based <scp>EEG</scp> System ↗ · 2026 · Burani, Kreshnik et al.
10. EEG-based prediction of driving performance using spectrograms and vision transformers ↗ · 2026 · Castro, Johan et al.
11. A Review of <scp>EEG</scp> ‐Based Driver Fatigue Detection: Nonlinear Dynamics, Brain Networks, and Deep Learning Advances ↗ · 2026 · Chen, Jichi et al.
12. 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.
13. A Feasibility Study of Using an In-Ear EEG System for a Quantitative Assessment of Stress and Mental Workload ↗ · 2026 · Fu, Zhibo et al.
14. Enhanced Driver Fatigue Classification via a Novel Residual Polynomial Network with EEG Signal Analysis ↗ · 2026 · Gao, Bing et al.
15. A novel EEG-driven multidimensional modelling of the Driver Performance Envelope for a user-centred human-vehicle interaction · 2026 · Giorgi, Andrea et al.
16. An EEG dataset for understanding driving expertise from naturalistic urban road experiments. · 2026 · Gong J et al.
17. Decoding Agency-Related Neural States During Human–AI Interaction in Autonomous Driving Using EEG and Deep Learning · 2026 · Houdoyer, Eléonore et al.
18. Exploring the Effects of Emotional Sensory Stimuli on Modulating Driver Fatigue via EEG-based Spatial-Temporal Dynamic Analysis ↗ · 2026 · Hu, Fo et al.
19. Interpretable Driver Fatigue Detection Using SHAP Analysis of Multiple Entropy EEG Features · 2026 · Hu, Jianfeng et al.
20. Cognitive state monitoring for neuroadaptive information visualization · 2026 · Idesis, Sebastian et al.
21. Evaluating the Sensitivity of Dry and Gel-Based Wearable EEG for Cognitive Load Estimation ↗ · 2026 · Idesis, Sebastian et al.
22. Driving Experience Alters Brain Activity Related to Visual Perception and Vehicle Maneuvers During Driving ↗ · 2026 · Inagaki, Keiichiro et al.
23. EEG-FADE: A generalizable and explainable framework for EEG-based driver fatigue detection ↗ · 2026 · Jegede, Akinbobola et al.
24. An EEG-Assisted Two-Stage PERCLOS Forecasting Method for Driver Fatigue Early Warning ↗ · 2026 · Jiang, Junye et al.
25. Detecting Driver Sleepiness From Physiological Indicators Using a CNN-LSTM Self-Attention Model ↗ · 2026 · Jiao, Yingying et al.
26. Assessment of cyclists' cognitive workload through eye tracker and EEG sensors: Sensitivity to individual and external factors in a real-world experiment ↗ · 2026 · Kchour, Fatima et al.
27. AI-Driven EEG-Based Driver Drowsiness Detection: A Narrative Review of Biosignals and Wearable Devices ↗ · 2026 · Khaghani Asl Toloun, Mahsa et al.
28. SS-RIME: A Scale-Stabilized Approach to EEG Cognitive Workload Classification ↗ · 2026 · Khaldi, Kais et al.
29. A Comparative Analysis of EEG Feature Selection and Machine Learning Techniques for Mental Workload Classification ↗ · 2026 · Khan, Zafar et al.
30. Detection of Fine-grained Driver Cognitive Responses for Cross-subject Deep Learning Framework ↗ · 2026 · Kim, Ah-Hyun et al.
31. A Cross-Subject Band-Power Complexity Metric for Detecting Mental Fatigue Through EEG ↗ · 2026 · Li, Ang et al.
32. FFTNet: fNIRS-based frequency-enhanced patch network for driving fatigue detection ↗ · 2026 · Li, Yu et al.
33. Multimodal Phenotyping Dataset of Driving Fatigue ↗ · 2026 · Li, Jiayi et al.
34. Assessing cognitive load in navigation tasks through EEG: Spatio-temporal multi-scale analysis ↗ · 2026 · Liu, Yixin et al.
35. Experimental fatigue detection of high-speed train drivers using dual-modal PPG and EEG signals under noise exposure ↗ · 2026 · Liu, Jiahao et al.
36. Using EEG to detect lapses in sustained attention to moving stimuli ↗ · 2026 · Lowe, Benjamin G. et al.
37. Effects of cabin thermal conditions and road type on driver workload and performance: A driving simulator study ↗ · 2026 · Lu, Biao et al.
38. Neurophysiological Mechanisms and Mitigation Strategies of Driver Fatigue in Human-Artificial Intelligence Cooperative Driving Using EEG · 2026 · Lu, Huoping et al.
39. EEG Based Brain-Controlled Vehicle · 2026 · M, Raman Kumar
40. Brain-Computer Interface Based Mental Workload Classification: Utilizing EEG Signal and N-Back Test Experiment ↗ · 2026 · Meshram, Piyush et al.
41. CROSS-SUBJECT EEG-BASED FATIGUE CLASSIFICATION USING MACHINE LEARNING, RIEMANNIAN GEOMETRY, AND COMPACT DEEP NEURAL NETWORKS ↗ · 2026 · Mukushev, Medet et al.
42. Clustering-Based Detection of Driver Drowsiness with Ear-EEG ↗ · 2026 · Mutlu, Eray et al.
43. EEG-based cognitive load estimation during the use of a virtual wheelchair simulator ↗ · 2026 · Pereira Salgado, Débora et al.
44. EEG Markers of Cognitive Load and Mental Fatigue in University Students: A Systematic Review ↗ · 2026 · Petrović, Nikol
45. Near-invisible c-VEP-based passive BCI for mental workload monitoring · 2026 · Pietro, Cimarosto et al.
46. Predicting driver distraction using a single channel ear EEG · 2026 · Popov, Tzvetan et al.
47. Human–Machine Fitness While Driving: Evaluating Human Acceptance of Autonomous Driving Styles Through EEG Signal Analysis ↗ · 2026 · Qi, Geqi et al.
48. Evolutionary-Optimized Multimodal Driver RiskAssessment Using DE-Enhanced Cross-AttentionFusion of EEG and Telematics · 2026 · Raga Madhuri, Ch et al.
49. HatSeqNet: A Sequence-Based Deep Learning Model for Cross-Subject Driver Drowsiness Detection Using Single-Channel EEG Signal ↗ · 2026 · Rahman, Sadman et al.
50. Human Cognitive Behavior and Brain State analysis in different physiological conditions using EEG signal: A systematic review ↗ · 2026 · Rai, Rakesh Kumar et al.
51. Validation of Neuphony 8-channel EEG flex cap: a comparative study with BioSemi 64-channel EEG system ↗ · 2026 · Rani, Ankita et al.
52. Combining EEG and eye-tracking for cognitive and physiological states monitoring: a systematic review · 2026 · Rivas-Vidal, Maria et al.
53. A novel approach for the EEG-driven assessment of divided attention through mutual information theory: A case study at the wheel ↗ · 2026 · Ronca, Vincenzo et al.
54. A novel paradigm for identifying eye-tracking metrics associated with cognitive control during driving through MEG neuroimaging ↗ · 2026 · Seacrist, Thomas et al.
55. Development of Drowsy Driving Detection System Using EEG · 2026 · Seo, Ssang-Hee
56. Investigating the impact of driving workload on fatigue and performance for the purpose of road safety · 2026 · Serra, Patrizia et al.
57. Assessment of Driver Cognitive Load in Autonomous Driving Using Extended Reality Simulation ↗ · 2026 · Hatchett, Seth et al.
58. Deep Learning Approach for EEG Cognitive Load Detection ↗ · 2026 · Sivaneshakumar, K S et al.
59. Processing and analysis of portable EEG data for cognitive load assessment in neurotypical university students ↗ · 2026 · Sáiz-Manzanares, María Consuelo et al.
60. Investigating the Role of Cognitive Demands and Mental Workload of Non-Professional Drivers in Japan: A Naturalistic Driving Study ↗ · 2026 · Suresh Babu, Karthik et al.
61. Application of Filter Bank to Improve Fatigue Monitoring in Wearable EEG-Based Brain–Computer Interface ↗ · 2026 · Tan, Timothy Jern Yu et al.
62. Identifying neural correlates of cognitive workload in high-performance motorsport simulation: an integrated EEG and telemetry analysis of driver performance ↗ · 2026 · Terapaptommakol, Wasinee et al.
63. Characterizing The Confounding Effects of Cybersickness On Mental Workload And Stress Detection Performance During An Immersive Virtual Reality Driving Task Using Electroencephalography ↗ · 2026 · Tiwari, Abhishek et al.
64. EEG-Based Driver Fatigue Detection Using P300 Dynamics and Deep Learning in Real-World Bus Operations ↗ · 2026 · Turnip, Arjon et al.
65. Wearable biosensor monitoring of driver fatigue in intelligent transport systems: A systematic review and IoT framework · 2026 · Vovk, Yaroslav et al.
66. A Study on the Correlation Between Driving Behavior and ECG Data in Driving Fatigue. ↗ · 2026 · Wang J et al.
67. Driver EEG Attention Monitoring Based on Wavelet Packet Decomposition and BiLSTM ↗ · 2026 · Wang, Qiuyun et al.
68. DrowsyDG-Phys: Generalizable driver drowsiness estimation in conditional automated vehicles using physiological signals ↗ · 2026 · Wang, Jiyao et al.
69. EEG-Based Driving Fatigue Detection in Urban Road Conditions Using a Novel Semi-Dry Electrode ↗ · 2026 · Wang, Fuwang et al.
70. Investigating the impact of cognitive load on drivers using virtual environments and EEG testing ↗ · 2026 · Wang, Chunhao et al.
71. Alpha Rhythm Modulations Associated with Reaction Times during Simulated Autonomous Driving ↗ · 2026 · WATANABE, Hayato et al.
72. Dynamic Topology Networks for Driving Vigilance Recognition to Enhance Human–Machine Interaction ↗ · 2026 · Xu, Xuebing et al.
73. EEG-based Driver Fatigue Detection with Eye-tracking Guided Weak Supervision · 2026 · Xu, Fenglin et al.
74. Comparative Prefrontal Multimodal Physiological Signatures Under Active- and Passive-Fatigue-Inducing Simulated Driving Paradigms. ↗ · 2026 · Zhang, F et al.
75. EEG-based cognitive load assessment of eHMIs in pedestrian-automated vehicle interactions: A real-world experiment ↗ · 2026 · Zhao, Shengnan et al.
76. SE-Driven Dynamic Convolution for Adaptive EEG-Based Driver Fatigue Detection Across Spectral, Spatial, and Temporal Domains ↗ · 2026 · Zhou, Tianle et al.
77. Design a Driver Fatigue Intelligent Monitoring Cap Based on the Fusion of EEG and Blink Signals ↗ · 2026 · Rui Zhu et al.
78. PERFORMANCE OPTIMIZATION OF DRIVER FATIGUE CLASSIFICATION USING HYBRID DBN-DQN ↗ · 2025 · Abdubrani, Rafiuddin et al.
79. ACXNet hybrid deep learning model for cross task mental workload estimation using EEG neural manifolds · 2025 · Abinaya, G. et al.
80. Introducing a Novel Fast Neighbourhood Component Analysis–Deep Neural Network Model for Enhanced Driver Drowsiness Detection ↗ · 2025 · Al-Gburi, Sama Hussein et al.
81. A Multidimensional Benchmark of Public EEG Datasets for Driver State Monitoring in Brain–Computer Interfaces ↗ · 2025 · Ammar, Sirine et al.
82. Specific feature selection in wearable EEG-based transducers for monitoring high cognitive load in neurosurgeons ↗ · 2025 · Arpaia, Pasquale et al.
83. Advancing Cognitive Load Detection in Simulated Driving Scenarios Through Deep Learning and fNIRS Data · 2025 · Khan, Mehshan Ahmed et al.
84. Advancing Cognitive Load Detection in Simulated Driving Scenarios Through Deep Learning and fNIRS Data · 2025 · Khan, Mehshan Ahmed et al.
85. 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.
86. Real Time Classification of Cognitive Load Using fNIRS and EEGNet in a Driving Simulation Task ↗ · 2025 · Khan, Mehshan Ahmed et al.
87. Real -Time EEG-Based Detection of Cognitive Fatigue in Human–Machine Interaction Systems: A Biomedical Engineering Approach · 2025 · Ayeoribe, Olarewaju Peter et al.
88. <scp>MSDA</scp> ‐Net: Multiscale Spatiotemporal Dual‐Attention Network for <scp>EEG</scp> ‐Based Driver Fatigue Detection ↗ · 2025 · Bello, Isah et al.
89. Detecting unacceptable behavior of an autonomous vehicle using electroencephalography · 2025 · Bertheau, Maren A. K. et al.
90. Driver Drowsiness Detection Using Eye Movement Behavior · 2025 · Biradar, Sonali et al.
91. Optimized driver fatigue detection method using multimodal neural networks · 2025 · Cao, Shengli et al.
92. Spectral EEG Biomarkers in Cognitive Characterization: Applications in VR, UXA, and Ergonomics ↗ · 2025 · Casares, Ángel David Blanco et al.
93. Predicting Focused and Mind-Wandering States from EEG Signals Recorded During Driving ↗ · 2025 · Castro, Johan et al.
94. EEG-based multi-band functional connectivity using corrected amplitude envelope correlation for identifying unfavorable driving states ↗ · 2025 · Chen, Jichi et al.
95. IMCATN: Transformer Based Learning With Multi-Scale Information Fusion for Driver Cognitive Load Recognition ↗ · 2025 · Cheng, Shiwei et al.
96. Detection of cognitive load using EEG signal and lifting wavelet transform with specific lead selection ↗ · 2025 · Chhabra, Himanshu et al.
97. EEG Characteristics During Driving Simulator Performance in Older Adults: A Systematic Review and Meta-Analysis ↗ · 2025 · Choi, Jae-Won et al.
98. Development of a Functional Near Infrared Spectroscopy System for Drowsiness Detection during Motorcycle Driving ↗ · 2025 · Dalin, John Roy et al.
99. Analysis of Neurophysiological Correlates of Mental Fatigue in Both Monotonous and Demanding Driving Conditions · 2025 · Dello Iacono, Francesca et al.
100. EEG-Based Mental States Prediction of Driver ↗ · 2025 · Dwivedi, Amit Kumar et al.
101. Re-Engaging Driver Attention Using ChatGPT: A VR-EEG Study on Stress Impact and Driving Performance ↗ · 2025 · Elfiqi, Alaa et al.
102. EEG-Based Evaluation of Mental Workload in a Simulated Industrial Human-Robot Interaction Task · 2025 · Fazli, Babak et al.
103. Real-Time EEG-Based Driver Drowsiness Detection Based on Convolutional Neural Network With Gumbel-Softmax Trick ↗ · 2025 · Feng, Weibin et al.
104. Physiological measurement of situation awareness: a study of the validity of EEG and fNIRS during performance and automation monitoring in a complex task ↗ · 2025 · Festa, Elena K. et al.
105. Cross-Scenario Vigilance Detection Based on EEG Analysis for Safety Driving in Autonomous ↗ · 2025 · Gao, Dingcheng et al.
106. EEG-Informed Cognitive Analysis and Deep Learning Classification for Autonomous Driving on Grassland Highways ↗ · 2025 · Gao, Mingxing et al.
107. Takeover and non-driving related task performance in conditional automated driving: EEG and behavior Parameters interaction ↗ · 2025 · Gao, Yuan et al.
108. An improved feature extraction algorithm for EEG-based driving fatigue recognition · 2025 · Geng, Xiaozhong et al.
109. Spatio Temporal Attentional EEGNet: An Enhanced Deep Learning Model for Cognitive Workload Detection · 2025 · Ghosh, Sayan et al.
110. 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.
111. Drowsiness Detection and Alarming System · 2025 · Girijannavar, Laxmi R et al.
112. Examining Cognitive Shifts Through EEG: Insights from Resting State to Neurofeedback Game Engagement · 2025 · Gochhait, Saikat et al.
113. A Multi-Modality Attention Network for Driver Fatigue Detection Based on Frontal EEG, EDA and PPG Signals ↗ · 2025 · Guo, Yuanru et al.
114. Driving Fatigue Detection Based on Behavioral with Cognitive Task Scenario ↗ · 2025 · Hadi, Faisal et al.
115. Compact Colocated Bimodal EEG/fNIRS Multi-Distance Sensor ↗ · 2025 · Hameau, Frédéric et al.
116. Monitoring pilots’ mental workload in real flight conditions using multinomial logistic regression with a ridge estimator · 2025 · Haseeb, Muhammad et al.
117. EEG workload estimation and classification: a systematic review ↗ · 2025 · Hassan, Jahid et al.
118. The Physiopsychological Impact of Smartphone Use on Cognitive Load, Emotional Regulation, and Brain Connectivity: An EEG Study · 2025 · Hu, Yue
119. LDGCN: An Edge-End Lightweight Dual GCN Based on Single-Channel EEG for Driver Drowsiness Monitoring · 2025 · Huang, Jingwei et al.
120. Recognition of drivers' mental workload in simulated driving using EEG signals from different brain regions and machine learning algorithms ↗ · 2025 · Huang, Jiaqi et al.
121. Current status and challenges in electroencephalography (EEG)-based driver fatigue detection: a comprehensive survey ↗ · 2025 · Hassan, Jahid et al.
122. CNN-Transformer Based Real-Time Detection of Driver Sleep Onset Using EEG and EOG Signals ↗ · 2025 · Jiao, Yingying et al.
123. Multimodal Data Fusion Architecture for Real-Time Physiological and Vehicular Signal Processing in Driving Contexts ↗ · 2025 · Jiménez Aguilar, Bryan Alexis et al.
124. Temporal Convolutional Networks for Driver Fatigue Classification from EEG Signals: A Novel Approach ↗ · 2025 · Jui, Julakha Jahan et al.
125. COVERT: Cognitive Internet of Vulnerable Road Users in Traffic · 2025 · Kamat, Vineet R. et al.
126. A Deep Learning Technique for Real-Time Detection of Cognitive Load Using Optimal Number of EEG Electrodes ↗ · 2025 · Karmakar, Subashis et al.
127. Biosignal-based attention monitoring for evaluating train driver safety-relevant tasks ↗ · 2025 · Kim, Jung Hwan et al.
128. Signal Quality Comparison of Wireless Dry and Wired Wet EEG Systems in Driving Conditions ↗ · 2025 · Kim, Seonghyeon et al.
129. Mental Workload Assessment Using Deep Learning Models From EEG Signals: A Systematic Review · 2025 · Kingphai, Kunjira et al.
130. Advancing Wearable BCI: Headphone EEG for Cognitive Load Detection in Lab and Field ↗ · 2025 · Knierim, Michael T. et al.
131. CLASSIFICATION OF COGNITIVE WORKLOAD FROM EEG SIGNALS USING MULTIDIMENSIONAL FEATURES WITH MACHINE LEARNING AND DEEP LEARNING · 2025 · Koca, Yavuz Bahadir
132. EEGMeNet: End-to-End Multitask Neural Network for Brain-Based Mental Workload Classification ↗ · 2025 · Kongwudhikunakorn, Supavit et al.
133. EEG-based assessment of long-term vigilance and lapses of attention using a user-centered frequency-tagging approach · 2025 · Ladouce, S et al.
134. In-Depth Inception–Attention Time Model: An Application for Driver Drowsiness Detection ↗ · 2025 · Lee, Minseop et al.
135. Cross-Driver Domain Generalization for Improved Drowsiness Recognition Based on EEG Signals ↗ · 2025 · Li, Guofa et al.
136. Effects of Mental Workload Manipulation on Electroencephalography Spectrum Oscillation and Microstates in Multitasking Environments ↗ · 2025 · Li, Wenbin et al.
137. Neural signatures of engagement in driving: comparing active control and passive observation ↗ · 2025 · Li, Zixin et al.
138. HATNet: EEG-Based Hybrid Attention Transfer Learning Network for Train Driver State Detection ↗ · 2025 · Lin, Shuxiang et al.
139. An In-Vehicle Digital Representation Model for Identifying the Channel and Level of Driver Workload Based on EEG Signals ↗ · 2025 · Liu, Tiancheng et al.
140. Analysis of Differences in Driver Emergency Braking Behavior by Integrating EEG and EMG Signals ↗ · 2025 · Liu, Pengjing et al.
141. EEG-Driven Classification of Driver Mental Workload in Diverse Environments: A Dual-Branch Network for Efficient In-Vehicle Applications ↗ · 2025 · Liu, Tianqi et al.
142. Using EEG to Detect Lapses in Sustained Attention to Moving Stimuli · 2025 · Lowe, Benjamin G. et al.
143. Confidence-Aware Multimodal Network for Driver Drowsiness Detection: Leveraging EEG-EOG Signals Enhanced by Knowledge Distillation ↗ · 2025 · Lu, Dehua et al.
144. Neuroimaging and Physiological Data-driven Autonomous Vehicle Driving Simulation System in Extended Reality ↗ · 2025 · Lynch, Curt et al.
145. MFE-Driver: Multimodal Fusion Network for EEG-based Driver Emotion State Recognition ↗ · 2025 · Ma, Yongqiang et al.
146. NeuroDrive: An EEG-Based System for Virtual Driving and Robotic Car Navigation ↗ · 2025 · Madake, Jyoti et al.
147. Multimodal Driver Drowsiness Detection Using Facial Expressions and Ear-EEGs With a Lightweight Auto-Denoising Network ↗ · 2025 · Mai, Ngoc-Dau et al.
148. Multi-body sensor based drowsiness detection using convolutional programmed transfer VGG-16 neural network with automatic driving mode conversion ↗ · 2025 · Malik, Meenakshi et al.
149. Mental Workload Detection and Assessment Through Statistical Features Extraction and Optimization Using GEL-RF Method for EEG Signals Using N-Back Dataset ↗ · 2025 · Manzoor, Waleed et al.
150. Toward Practical Driver Fatigue Detection Based on EEG Using Forehead Low Channel and Cascaded Deep Forest · 2025 · Min, Jianliang et al.
151. 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.
152. 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.
153. Real-World Evaluation of Driver Cognitive Load Across Traffic Conditions Using Biometric Signals ↗ · 2025 · Nava, Alicia et al.
154. Navigating a Misty Road: Novel Ways to Study the Impact of Cognition on Driving Performance in Multiple Sclerosis ↗ · 2025 · Nikolakakis, Ioannis et al.
155. Driving and Sleep Deprivation: Comparing Interventions Using a Driving Simulator with EEG Analysis ↗ · 2025 · Ntagka, Niki Eleni et al.
156. Machine learning performance in EEG-based mental workload classification across task types: a systematic review · 2025 · Pušica, Miloš et al.
157. Recognizing autonomous driving disengagement scenarios using the transferable knowledge from human driver’s EEG cognitive data ↗ · 2025 · Qi, Geqi et al.
158. Development of a Networked Multi-Participant Driving Simulator with Synchronized EEG and Telemetry for Traffic Research ↗ · 2025 · Ramlall, Poorendra et al.
159. EEG quantization and entropy of multi-step transition probabilities for driver drowsiness detection via LSTM ↗ · 2025 · Rayani, Mohammad Saleh et al.
160. Single-Channel Wearable EEG for Monitoring Mental Workload for Telerehabilitation Applications ↗ · 2025 · Rechichi, Irene et al.
161. Evaluating Deep Learning Architectures for EEG-Based Driver Fatigue Detection: A Comparative Analysis ↗ · 2025 · Refat, Kawsar Ahmed et al.
162. Measurement of pilots’ fatigue, attention and vigilance using EEG, ECG and EYE tracking in the simulated environment · 2025 · RUSU, Victoria et al.
163. Machine Learning EEG signal processing for Driver Fatigue Detection in Brain-Computer Interface Applications ↗ · 2025 · Rusu-Both, Roxana et al.
164. Attention-Enhanced Deep Learning Models for EEG-Based Driver Drowsiness Detection ↗ · 2025 · S, Shymala Gowri et al.
165. A Novel CWT-CNN Framework for Driver Fatigue Detection from EEG Signals ↗ · 2025 · Sadeque, Md. Golam et al.
166. Hybrid EEG Signal Processing Framework for Driver Drowsiness Detection Using QWT, EMD, and Bayesian Optimized SVM ↗ · 2025 · Sardesai, Shilpa et al.
167. Mind the road: attention related neuromarkers during automated and manual simulated driving captured with a new mobile EEG sensor system · 2025 · Scanlon, Joanna Elizabeth Mary et al.
168. Virtual reality-induced motion sickness under autonomous vehicle driving conditions: EEG-based recognition and ANOVA analysis of various driving modes ↗ · 2025 · Shao, Shuyu et al.
169. Neurophysiological Markers of Cognitive Failures in Drivers: An Electroencephalography Study. ↗ · 2025 · Sharifi Z et al.
170. Deep Learning Based EEG Based Mental Workload Detection with Discrete Wavelet Transform and Welch’s Power Spectral Density ↗ · 2025 · Sharma, Shraddha Jain et al.
171. EEG-Based Deep Learning Approaches for Driver Fatigue Detection in Neurorehabilitation-Oriented Brain-Computer Interfaces ↗ · 2025 · Ganesan, Shobana et al.
172. Analysis of Braking Driving Behavior based on EEG ↗ · 2025 · Shu, Jin et al.
173. EEG2Intent: A Self-Supervised Masked Learning Framework Augmented by Large Language Models for Driving Intent Prediction ↗ · 2025 · Si, Junqi et al.
174. Frequency-based Incremental Feature Extraction and Machine Learning in EEG for Better Driver Fatigue Detection ↗ · 2025 · Sim, Doreen Y. Y. et al.
175. Driver Tracking in Automotive Environment Using Mobile Thermal Camera ↗ · 2025 · Stoyanov, Yordan
176. EEG correlates of acquiring race driving skills ↗ · 2025 · Sultana, M et al.
177. Electroencephalogram-Based Multi-Class Driver Fatigue Detection using Power Spectral Density and Lightweight Convolutional Neural Networks · 2025 · Suprihatiningsih, Wiwit et al.
178. An investigation of pre-stimulus eeg for prediction of driver reaction time ↗ · 2025 · Ur Rahman, Shams et al.
179. Fine-Grained Mental Workload Estimation Based on Eeg Signal Analysis ↗ · 2025 · Wang, Yingshan et al.
180. Research on Driver Fatigue Detection in Real Driving Environments Based on Semi-Dry Electrodes with Automatic Conductive Fluid Replenishment ↗ · 2025 · Wang, Fuwang et al.
181. Research on the Prediction of Driver Fatigue State Based on EEG Signals ↗ · 2025 · Wang, Zhanyang et al.
182. Time-variant Granger causality analysis for intuitive perception collision risk in driving scenario: an EEG study · 2025 · Wang, Zhe et al.
183. Task-Independent Cognitive Workload Discrimination Based on EEG with Stacked Graph Attention Convolutional Networks ↗ · 2025 · Wei, Chenyu et al.
184. ID3RSNet: cross-subject driver drowsiness detection from raw single-channel EEG with an interpretable residual shrinkage network · 2025 · Feng, Xiao et al.
185. Dual‐Domain Fusion Graph Convolutional Network for EEG‐Based Driving Fatigue Detection ↗ · 2025 · Xiong, Hui et al.
186. Mobile EEG in Education &amp; Language Learning: A Scoping Review · 2025 · Yang, Jincai et al.
187. Multiple entropy fusion predicts driver fatigue using forehead EEG ↗ · 2025 · Yang, Renyu et al.
188. Recognizing and explaining driving stress using a Shapley additive explanation model by fusing EEG and behavior signals ↗ · 2025 · Yang, Liu et al.
189. Study on Detection of Driving Fatigue Based on ECG Collected by a Novel Semi-Dry Electrode ↗ · 2025 · Yao, Wanchao et al.
190. Cognitive load detection through EEG lead wise feature optimization and ensemble classification ↗ · 2025 · Yedukondalu, Jammisetty et al.
191. EEG-Based Cross-Dataset Driver Drowsiness Recognition With an Entropy Optimization Network ↗ · 2025 · Yuan, Liqiang et al.
192. Research on driving fatigue detection method based on fNIRS data and Facial Features ↗ · 2025 · Zeng, Lingqiu et al.
193. EEG-Based Driver Fatigue Detection with Frequency–Spatial Attention and Mamba2 Temporal Modeling ↗ · 2025 · Zhang, Hewei et al.
194. TMU-Net: A Transformer-Based Multimodal Framework with Uncertainty Quantification for Driver Fatigue Detection ↗ · 2025 · Zhang, Yaxin et al.
195. EEG Network Analysis During the Acceleration and Deceleration Phases of Driving ↗ · 2025 · Zhao, Shuo et al.
196. GETN: A Graph-Based EEG Transformer Network for Driver Takeover Reliability Assessment in Conditionally Automated Driving ↗ · 2025 · Zhao, Xinzhi et al.
197. Multiscale Global Prompt Transformer for EEG-Based Driver Fatigue Recognition ↗ · 2025 · Zhao, Pengbo et al.
198. 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.
199. Cognitive load recognition in simulated flight missions: an EEG study ↗ · 2025 · Zhou, Yueying et al.
200. Enhanced Cognitive Load Detection in Air Traffic Control Operators Using EEG and a Hybrid Deep Learning Approach ↗ · 2025 · Zhou, Yueying et al.