eeg or eda gsr

EEG and/or EDA/GSR co-occurring (papers using both physiological measures).

908 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.

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Papers

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

Uppiggande effekter av sömnskattningar: Hur påverkar det GSR och förarövervakning? · 2026 · Ahlström, Christer et al.
DriveAware: Multimodal Wearable Sensing–Based Machine Learning Approaches to Detect Driver Distraction ↗ · 2026 · Montaser, Heba et al.
Physiologically Grounded Driver Behavior Classification: SHAP-Driven Elite Feature Selection and Hybrid Gradient Boosting for Multimodal Physiological Signals ↗ · 2026 · Askari, Sahar et al.
Mental workload classification using EEG in drivers: A personalized approach to occupational risk reduction ↗ · 2026 · Atici-Ulusu, Hilal et al.
Comprehensive Modeling and Evaluation of Workload in Driving Simulation Using the VACP Paradigm · 2026 · Aygun, Ayca et al.
Cross-modal cognitive workload estimation in driving simulation: CCI–pupil coherence, vestibular mediation, and a multimodal workload index across five washout algorithm conditions ↗ · 2026 · Aykent, Baris
The dynamics of driving performance in non-optimal human states: Drowsiness, high cognitive load, and acute stress ↗ · 2026 · Bakhchina, Anastasiia Vladimirovna et al.
Effects of Road Geometry and Driving Automation on Pupil Diameter: Evidence from a Simulated Driving Study ↗ · 2026 · Bosurgi, Gaetano et al.
A Multimodal Dataset of Psychological, Physiological, and Behavioral Responses in Diverse Driving Scenarios ↗ · 2026 · Chai, Bo et al.
A comparative study on the effects of mind-wandering, distraction, and fatigue on driving performance and physiological responses ↗ · 2026 · Chen, Jingrui et al.
Assessing the Impact of an Assistive Driving Device on Mental Workload and Stress During Simulated Driving: A Multivariate Approach ↗ · 2026 · Costantini, Simone et al.
The effect of prolonged conditionally automated driving on fatigue, physiological activity, and takeover performance: a driving simulator experiment ↗ · 2026 · Coyne, Rory et al.
User acceptance of autonomous shuttle systems: A UTAUT2-based analysis with simulated driving tests and physiological measurement ↗ · 2026 · Czaban, Marcin et al.
Dataset of physiological signals in the use of advanced driver assistance systems (ADAS) ↗ · 2026 · de Castro, Gabriel Martins et al.
Vocal Instability as a Sensitive Biomarker for Driving Stress: Decoupling Cognitive Load and Environmental Friction in a Real-World Dual-Task Protocol · 2026 · Doğan, Dağhan
Driver mental workload measurement trends and cognitive impacts: a literature review ↗ · 2026 · Faidah, Uyun Nadzirotul et al.
Personalized Classification of Scenario-Derived Operational Driver-State Classes from Non-Intrusive Wearable Signals in Real-World SAE Level 2 Automated Driving ↗ · 2026 · Fernandez-Matellan, Raul et al.
Differential Neurophysiological and Autonomic Responses to Electric, Hybrid, and Internal Combustion Engine Vehicles During Real-World Driving Testing: A Multimodal Psychophysiological Study ↗ · 2026 · Georgiev, Stiliyan et al.
The Effects of Semi-Autonomous Driving on Heart Rate Variability and Anxiety ↗ · 2026 · Göçer, Hakan et al.
A novel EEG-driven multidimensional modelling of the Driver Performance Envelope for a user-centred human-vehicle interaction · 2026 · Giorgi, Andrea et al.
An EEG dataset for understanding driving expertise from naturalistic urban road experiments. · 2026 · Gong J et al.
Applying Adaptive Gain Theory to Pupillary Dynamics During Hands-Off L2 Driving Under High Cognitive Load ↗ · 2026 · Goodridge, Courtney Michael et al.
Multimodal Assessment of Pilot Cognitive Workload Using ECG and Eye-Tracking Features in Simulated Flight Tasks · 2026 · Guan, Yixuan et al.
Driver State Classification: Identifying High Cognitive Load and Drowsiness Through Driver Performance · 2026 · Ayas, Suzan et al.
Sensing Cognitive Responses Through a Non-Invasive Brain–Computer Interface ↗ · 2026 · Hristov, Hristo et al.
A Study on Autonomous Driving Motion Sickness from the Perspective of Multimodal Human Signals ↗ · 2026 · Kim, Su Young et al.
Physiological Assessment of Driver Trust in Automated Vehicles under Distinct Driving Styles · 2026 · Li, Yizheng et al.
Driver Takeover Performance under Different Driving Contexts and Non-Driving Tasks in Level 3 Automated Driving · 2026 · Liu, Meiqi et al.
Impacts of risk perceptions on driver responses in assisted driving scenarios: a moderated mediation model ↗ · 2026 · Liu, Yang et al.
Neurophysiological Mechanisms and Mitigation Strategies of Driver Fatigue in Human-Artificial Intelligence Cooperative Driving Using EEG · 2026 · Lu, Huoping et al.
Drivers’ Psycho-Physiology Characteristics and Workload Identification in Prairie Highway Work Zones ↗ · 2026 · Lyu, Zhen et al.
Research on Distracted Driving State Recognition and Its Impact Using an Ensemble Learning Model Based on Multimodal Information Fusion ↗ · 2026 · Ma, Dezhong et al.
Recherche d'indicateurs d'inattention en conduite automobile : apports des mesures physiologiques et comportementales ↗ · 2026 · Pepin, Guillaume
Predicting driver distraction using a single channel ear EEG · 2026 · Popov, Tzvetan et al.
Driver Cognitive, Emotional, and Behavioral Responses to Single-Day Highway Work Zones with Unexpected Lane Hazards · 2026 · Pretto, Paolo et al.
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.
Psychophysiological evidence of mental workload and subjective anxiety from in-vehicle voice message complexity ↗ · 2026 · Restuputri, Dian Palupi et al.
Investigating the impact of driving workload on fatigue and performance for the purpose of road safety · 2026 · Serra, Patrizia et al.
Assessment of Driver Cognitive Load in Autonomous Driving Using Extended Reality Simulation ↗ · 2026 · Hatchett, Seth et al.
Driving Behavior Recognition Based on Multimodal Physiological Signals under Negative Emotion ↗ · 2026 · shao, shuyu et al.
Enhancing Cross-Dataset Mental Workload Detection Using Electrodermal Activity and Domain Adaptation ↗ · 2026 · Sigcha, Luis et al.
Non-Invasive Stress-Related Hormone Estimation from Vital Signals in Driving Environments ↗ · 2026 · Taniguchi, Nobuhito et al.
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.
Exploring the Role of Driver Emotions and Physiology in Driving Risk Inference: A Multimodal Explainable AI Approach Using Instrumented Vehicle Data ↗ · 2026 · Vullapu, Sai Sesidhar et al.
A Study on the Correlation Between Driving Behavior and ECG Data in Driving Fatigue. ↗ · 2026 · Wang J et al.
Cognitive Workload and Attentional Allocation in One-Pedal Driving: A Human–Vehicle Interaction Study in Dynamic Car-Following Scenarios ↗ · 2026 · Wang, Sibo et al.
From Awareness to Intent: Mitigating Silent Driving System Failures through Prospective Situation Awareness Enhancing Interfaces · 2026 · Wang, Jiyao et al.
Investigating the impact of cognitive load on drivers using virtual environments and EEG testing ↗ · 2026 · Wang, Chunhao et al.
Alpha Rhythm Modulations Associated with Reaction Times during Simulated Autonomous Driving ↗ · 2026 · WATANABE, Hayato et al.
Finding Workload in the Wild: Recovering Latent Cognitive Dynamics Jointly from Eye Metrics and Driving Telemetry ↗ · 2026 · Yamashita, Jumpei et al.
Identification of Driving Workload in Plateau Environment: A Naturalistic Driving Study ↗ · 2026 · Yu, Aolin et al.
DriE-Cog dataset: A multimodal physiological–behavioural dataset for intelligent driving emergency response ↗ · 2026 · Zhang, Hongqiang et al.
Research on young drivers’ workload based on simulated distracted driving test ↗ · 2026 · Zhao, Xiaoping et al.
Load-Dependent Relationship Between Lateral Prefrontal Cortex Activity and Pupil Diameter in the Context of Driving ↗ · 2025 · Akimoto, Yoritaka et al.
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.
Grasping the sporadic nature of electrodermal activity provides robust assessment of different cognitive load even in a perturbated status induced by sleep debt ↗ · 2025 · Boffet, Alexis et al.
Unobtrusive Multimodal Monitoring of Physiological Signals for Driver State Analysis ↗ · 2025 · Amidei, Andrea et al.
Are Electrodermal Activity-Based Indicators of Driver Cognitive Distraction Robust to Varying Traffic Conditions and Adaptive Cruise Control Use? · 2025 · Halin, Anaïs et al.
Gaze-Based Indicators of Driver Cognitive Distraction: Effects of Different Traffic Conditions and Adaptive Cruise Control Use · 2025 · Halin, Anaïs et al.
Passenger Trust and Driver Workload Evaluation via Heart Rate Variability in Bus Services ↗ · 2025 · Ando, Hiroyasu et al.
Advancing Cognitive Load Detection in Simulated Driving Scenarios Through Deep Learning and fNIRS Data · 2025 · Khan, Mehshan Ahmed et al.
Advancing Cognitive Load Detection in Simulated Driving Scenarios Through Deep Learning and fNIRS Data · 2025 · Khan, Mehshan Ahmed et al.
Towards Context-Aware Modeling of Situation Awareness in Conditionally Automated Driving ↗ · 2025 · Avetisyan, Lilit et al.
The sensitivity of psychophysiological measures to changes in mental workload ↗ · 2025 · Büchli, Adrian et al.
Effect of Partially Automated Driving on Mental Workload, Visual Behavior and Engagement in Nondriving-Related Tasks: A Meta-Analysis · 2025 · Vasta, N et al.
Investigating the interplay between cognitive workload and situation awareness during full driving automation ↗ · 2025 · Sahoo, P et al.
Detection of Cognitive Load Modulation by EDA and HRV · 2025 · Boffet, Alexis et al.
Assessing drivers’ psychophysiological states using heart rate, electrodermal activity, and pupillometry in real-world driving ↗ · 2025 · Bosurgi, Gaetano et al.
Exploring Physiological Markers of Driver Workload in Response to Road Geometry: A Preliminary Investigation ↗ · 2025 · Bosurgi, Gaetano et al.
Pupillometry in Driver Workload Assessment: Opportunities and Challenges ↗ · 2025 · Bosurgi, Gaetano et al.
Evaluation of the human interaction with automated vehicles on highways · 2025 · Chand, Cadell et al.
Emotion-Aware Autonomous Driving: A VR-Based Multimodal Analysis Using Gaze and Physiological Signals ↗ · 2025 · Chang, Mi et al.
Flow or Distraction? Exploring Multimodal Patterns of Driver States in Automated Driving ↗ · 2025 · Chen, Pei-Ru et al.
Analysis of Neurophysiological Correlates of Mental Fatigue in Both Monotonous and Demanding Driving Conditions · 2025 · Dello Iacono, Francesca et al.
Systematic review of neurophysiological assessment techniques and metrics for mental workload evaluation in real-world settings · 2025 · Diarra, Moussa et al.
Assessment of Driver Situation for Control Authority Transition from Conditionally Automated Vehicles using Chassis and Galvanic Skin Response Sensors ↗ · 2025 · Dogan, Daghan et al.
fNIRS, EEG, ECG, and GSR reveal an effect of complex, dynamically changing environments on cognitive load, affective state, and performance, but not physiological stress · 2025 · Dybvik, Henrikke et al.
Re-Engaging Driver Attention Using ChatGPT: A VR-EEG Study on Stress Impact and Driving Performance ↗ · 2025 · Elfiqi, Alaa et al.
Mental Workload in Truck Driving: A NASA-TLX and HRV-Based Comparison Across Day-Night and Rural-Urban Conditions · 2025 · Hastiya Annisa Fitri et al.
Investigating the Influence of Takeover Request Warning Methods on Driver Tension in Level 3 Automated Driving · 2025 · Fukuzawa, Taiga et al.
Adaptive Gain Theory Predicts Phasic Pupillary Dilations During Non-Critical Transitions of Control from Hands-Off L2 Driving Systems ↗ · 2025 · Goodridge, Courtney Michael et al.
Dynamics of Affective States During Takeover Requests in Conditionally Automated Driving Among Older Adults with and without Cognitive Impairment · 2025 · Hajian, Gelareh et al.
Are Electrodermal Activity-Based Indicators of Driver Cognitive Distraction Robust to Varying Traffic Conditions and Adaptive Cruise Control Use? ↗ · 2025 · Halin, Anaïs et al.
Physiological responses of race car drivers in authentic and simulated motor-racing ↗ · 2025 · Holland, Justin et al.
A Dataset on Takeover during Distracted L2 Automated Driving · 2025 · Hwang, Jiwoo et al.
Physiological Evaluation of User Experience in Unstable Automated Driving: A Comparative Study ↗ · 2025 · Hwang, Sooncheon et al.
An Intelligent Camera-Based Contactless Driver Stress State Monitoring Using Multimodality Fusion ↗ · 2025 · J, Swarubini P et al.
Designing transparency for automated driving: Effects of ambient light cues and explanations on driver performance · 2025 · Huang, Jingyu et al.
Integrated Multimodal System for Real-Time Driver Fatigue Detection and Cognitive Load Assessment ↗ · 2025 · Jirjees, Abdullah et al.
Analysis of Electrodermal Signal Features as Indicators of Cognitive Load – Comparison of Selected Statistical Measures Effectiveness ↗ · 2025 · Jukiewicz, Marcin et al.
A Study of Ergonomic Workload Evaluation on Driving and Working of Excavator using Virtual Reality Motion Simulator ↗ · 2025 · Kim, Jong-Hyun et al.
A Comparative Study of Mental Workload among Truck Drivers: The Effects of Truck Type and Age Using HRV Metrics · 2025 · Siti Hidayanti Mutiara Kurnia et al.
Study of Driver's Perception in Driving Tasks Based on Naturalistic Driving Experiments and fNIRS Measurement ↗ · 2025 · Li, Bilu et al.
Multimodal prediction of situation awareness during automated driving: a gaze and EEG-based approach ↗ · 2025 · Lim, Chiho et al.
An In-Vehicle Digital Representation Model for Identifying the Channel and Level of Driver Workload Based on EEG Signals ↗ · 2025 · Liu, Tiancheng et al.
Analysis of Differences in Driver Emergency Braking Behavior by Integrating EEG and EMG Signals ↗ · 2025 · Liu, Pengjing et al.
EEG-Driven Classification of Driver Mental Workload in Diverse Environments: A Dual-Branch Network for Efficient In-Vehicle Applications ↗ · 2025 · Liu, Tianqi et al.
EDA, PPG and Skin Temperature as Predictive Signals for Mental Failure by a Statistical Analysis on Stress and Mental Workload ↗ · 2025 · Luzzani, G. et al.
Neuroimaging and Physiological Data-driven Autonomous Vehicle Driving Simulation System in Extended Reality ↗ · 2025 · Lynch, Curt et al.
Temporal Analysis of Cognitive Workload During Manual and Partial Driving Automation Based on the Detection Response Task ↗ · 2025 · Mahmoodzadeh, Mobina et al.
Detecting sources of anger in automated driving: driving-related and external factor · 2025 · Maillant, Jordan et al.
Dissociating Cognitive Load and Stress Responses Using Single-Channel EEG: Behavioral and Neural Correlates of Anxiety Across Cognitive States ↗ · 2025 · Maimon, Neta Batya et al.
The arousal paradox in critical task performance in automated driving during sleep inertia using a quasi experimental approach · 2025 · Tomzig, Markus et al.
The impact of mind wandering on physiological measures in delegated driving · 2025 · Mazeres, Florence et al.
Real-World Evaluation of Driver Cognitive Load Across Traffic Conditions Using Biometric Signals ↗ · 2025 · Nava, Alicia et al.
Measuring Driver Electrodermal Activity when Exposed to HMIs Conveying Uncertainty in Conditional Automated Driving ↗ · 2025 · Pardo, Jorge et al.
Multimodal Wearable-Based Automated Driver Inattention State Assessment Using Multidevices and Novel Cross-Modal Attention Framework ↗ · 2025 · Pavan, Kaveti et al.
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.
Identifying Negative Driver States that Share Commonalities for Interventions ↗ · 2025 · Seaman, Sean et al.
Analysis of Braking Driving Behavior based on EEG ↗ · 2025 · Shu, Jin et al.
Analysis Of The Relation Between Vehicle And Physiological Data ↗ · 2025 · Sándor, Ágoston Pál
Temporal Analysis of Cognitive Workload During Manual and Partial Driving Automation Based on the Detection Response Task ↗ · 2025 · Strayer, David L.
Evaluation of Driver Overconfidence in Automotive Driving Using Physiological Data ↗ · 2025 · Takumi, Kuno et al.
Analysis and identification of physiological profiles for cognitive load modeling in conditioned autonomous driving using unsupervised analysis and clustering ↗ · 2025 · Vásquez, Evelyn et al.
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.
Deconstructing Driver State in Smart Cockpits: Physiological Validation of Perceived Risk, Trust, and Fatigue during Automated Driving ↗ · 2025 · Wang, Zhenyuan et al.
Exploring how physio-psychological states affect drivers’ takeover performance in conditional automated vehicles ↗ · 2025 · Wang, Ange et al.
Impact of multi-dimensional cognitive demands on takeover performance, physiological and eye-tracking measures in conditionally automated vehicles ↗ · 2025 · Wang, Ange et al.
Investigating effects of temperature and CO <sub>2</sub> on driver drowsiness in the context of conditional automated driving ↗ · 2025 · Wang, Zhenyu et al.
Towards Generalizable Drowsiness Monitoring with Physiological Sensors: A Preliminary Study ↗ · 2025 · Wang, Jiyao et al.
Advanced Driver Assistance Systems and Emotion-based Driver Behavior · 2025 · Waters, Anthony et al.
Enhancing Driver Stress Detection through Multimodal Integration of Eye Tracking and Physiological Signals · 2025 · Widayat, Tri Agung et al.
CogMamba: Multi-Task Driver Cognitive Load and Physiological Non-Contact Estimation with Multimodal Facial Features ↗ · 2025 · Xie, Yicheng et al.
Coupling mechanism of nighttime lighting glare and driver cognitive load based on visual-physiological parameters ↗ · 2025 · Xu, Mingwei et al.
Recognizing and explaining driving stress using a Shapley additive explanation model by fusing EEG and behavior signals ↗ · 2025 · Yang, Liu et al.
A Physiological Evaluation of Driver Workload in the Lead Vehicle of an Autonomous Truck Platoon Using Bio-Signal Analysis ↗ · 2025 · Yuda, Emi et al.
Driver Distraction Detection in Conditionally Automated Driving Using Multimodal Physiological and Ocular Signals ↗ · 2025 · Zhou, Yang et al.
Investigating the effect of drivers’ mental workload on the occurrence of driving anger among urban drivers in Qazvin city ↗ · 2024 · Abdi, Hanieh et al.
Analysis of Causal Factor of Driver Fatigue in the Driving in Different Driving Conditions ↗ · 2024 · Adachi, Masataka et al.
Driver Behaviour Characterization Using an Instrumented Steering Wheel Conscious/Unconscious Muscle Activation ↗ · 2024 · Akutain, Xabier Carrera et al.
Pupillometry and autonomic nervous system responses to cognitive load and false feedback: an unsupervised machine learning approach ↗ · 2024 · Alshanskaia, Evgeniia I. et al.
Multimodal Brain–Computer Interface for In-Vehicle Driver Cognitive Load Measurement: Dataset and Baselines · 2024 · Angkan, Prithila et al.
Validation of a one-item acute stress scale for driving tasks · 2024 · Dahlman, Anna Sjörs et al.
A Novel Approach for Automatic Detection of Driver Fatigue Using EEG Signals Based on Graph Convolutional Networks · 2024 · Ardabili, Sevda Zafarmandi et al.
Automated Driver Health Monitoring System in Automobile Industry Using WOA-DBN Using ECG Waveform ↗ · 2024 · Arif, M. K. et al.
Capturing the Mind: Non-Driving-Related Tasks as a Window into Cognitive Engagement in Automated Driving ↗ · 2024 · Bai, Xiaolu et al.
Assessing the Impact of AR-Assisted Warnings on Roadway Worker Stress Under Different Workload Conditions · 2024 · Banani Ardecani, Fatemeh et al.
How the cognitive load of simulated driving affects the brain dynamics underlying auditory attention ↗ · 2024 · Banz, Barbara C. et al.
Using the ISO Detection response task to measure the cognitive load of driving four separate vehicles on two distinct highways ↗ · 2024 · Biondi, Francesco N. et al.
Road to serenity: Individual variations in the efficacy of unobtrusive respiratory guidance for driving stress regulation ↗ · 2024 · Béquet, A.J. et al.
Reliable but multi-dimensional cognitive demand in operating partially automated vehicles · 2024 · Lohani, M et al.
This is your brain on autopilot 2.0: The influence of practice on driver workload and engagement during on-road, partially automated driving · 2024 · McDonnell, AS et al.
Using the ISO detection response task to measure the cognitive load of driving four separate vehicles on two distinct highways · 2024 · Biondi, FN et al.
Development of a Monitoring System for Driver Readiness in Prolonged Automated Driving · 2024 · Deb, Shuchisnigdha et al.
Assessing driver engagement in assisted driving: Insights from Pilot Evaluation, Focus Groups and driving simulator testing · 2024 · Deiana, Francesco et al.
Predicting Driver Takeover Performance in Conditional Automation (Level 3) through Physiological Sensing · 2024 · Deng, Min et al.
Impact of Situation Awareness Variations on Multimodal Physiological Responses in High-Speed Train Driving ↗ · 2024 · Dong, Wenli et al.
Sound Strategies for Safe Driving: Exploring Auditory Interventions to Counteract Passive Driver Fatigue · 2024 · Papachristos, Eleftherios et al.
Emotion behind the Wheel: Emotional (dys)Regulation on Young Driving Behaviour - Systematic Review · 2024 · Pizzo, Alessandra et al.
Utilising raw psycho-physiological data and functional data analysis for estimating mental workload in human drivers ↗ · 2024 · Eniyandunmo, David et al.
Exploring the effect of cognitive load in scenarios of daily driving · 2024 · Felisberti, Fatima M. et al.
EEG and fNIRS are associated with situation awareness (hazard) prediction during a driving task ↗ · 2024 · Festa, Elena K. et al.
Fatigue and mental underload further pronounced in L3 conditionally automated driving: Results from an EEG experiment on a test track · 2024 · Figalova, Nikol et al.
Assessing Energy-Related Situation Awareness Using Self-Controlled Occlusion During Electric Vehicle Driving Scenes · 2024 · Gödker, Markus et al.
Using driver monitoring to estimate readiness in automation: A conceptual model based on simulator experimental data · 2024 · Gonçalves, Rafael C. et al.
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.
Classification of Driver Cognitive Load in Conditionally Automated Driving: Utilizing Electrocardiography and Eye Tracking · 2024 · Shi, Wenxin et al.
Cognitive Workload Estimation in Conditionally Automated Vehicles Using Transformer Networks Based on Physiological Data · 2024 · Wang, Ange et al.
Fatigue at the wheel: A non-visual approach to truck driver fatigue detection by multi-feature fusion ↗ · 2024 · He, Chen et al.
The association between physiological and eye-tracking metrics and cognitive load in drivers: A meta-analysis · 2024 · Wang, Ange et al.
O160: Novel Monitoring of General Surgeons' Intraoperative Cognitive Load following Surgical Sabermetrics Principles ↗ · 2024 · Howie, Emma et al.
Biosignal-Based Driving Experience Analysis between Automated Mode and Manual Mode ↗ · 2024 · Hu, Hongyu et al.
Investigating mental workload caused by NDRTs in highly automated driving with deep learning ↗ · 2024 · Hu, Xintao et al.
Skin Conductance Response in Real Driving Settings: Comparison of Analysis Methods ↗ · 2024 · Iadarola, Grazia et al.
Measures of Cognitive and Psycho-Physiological Response to a Virtual Driving Assistance ↗ · 2024 · Isiaka, Fatima et al.
Predicting Driver Readiness in Conditional Autonomous Driving: Analyzing Driver Characteristics and Heart Rate Variability ↗ · 2024 · Jang, Eun-Hye et al.
Modulating Driver Alertness via Ambient Olfactory Stimulation: A Wearable Electroencephalography Study ↗ · 2024 · Jiang, Mengting et al.
Driver Fatigue Detection Using Measures of Heart Rate Variability and Electrodermal Activity ↗ · 2024 · Jiao, Yubo et al.
Assessment of Drivers’ Mental Workload by Multimodal Measures during Auditory-Based Dual-Task Driving Scenarios ↗ · 2024 · Huang, Jiaqi et al.
Feasibility of using electrodermal activity responses to assess level of crowdedness of pedestrian paths ↗ · 2024 · Lee, Heejung et al.
Predicting Driver's mental workload using physiological signals: A functional data analysis approach ↗ · 2024 · Lee, Chaeyoung et al.
Multiple factors on driving load in mountain area at night based on factor analysis · 2024 · Li, Hao et al.
Prediction of Driver Intention Using EEG and GSR Signals for Advanced Driver Assistance Systems ↗ · 2024 · Li, Jiaxiang et al.
Towards Context-Aware Modeling of Situation Awareness in Conditionally Automated Driving · 2024 · Avetisyan, Lilit et al.
Exploring factors in Human Cognition that affect Human Performance during Takeover in Autonomous Driving · 2024 · Liu, Zijing et al.
Assessing the Impact of Secondary Tasks on Heart Rate Variability and Mental Workload in Driving ↗ · 2024 · Lubay, Mary Grace et al.
Cognitive Aspect of Emotion Estimation of a Driver · 2024 · Luo, Jinshan et al.
Preliminary study of pilot stress and mental workload monitoring through physiological signals ↗ · 2024 · Luzzani, G et al.
Cognitive load during driving: EEG microstate metrics are sensitive to task difficulty and predict safety outcomes · 2024 · Ma, Siwei et al.
Investigating emotion fluctuations in driving behaviors of online car-hailing drivers using naturalistic driving data ↗ · 2024 · Ma, Yongfeng et al.
Assessment of driver fatigue-related brain responses and causal factors during driving under different traffic conditions · 2024 · Adachi, Masataka et al.
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.
Predicting cognitive load in immersive driving scenarios with a hybrid CNN-RNN model · 2024 · Khan, Mehshan Ahmed et al.
Classification of driver fatigue in conditionally automated driving using physiological signals and machine learning ↗ · 2024 · Meteier, Quentin et al.
Driver Cognitive Architecture Based on EEG Signals: A Review ↗ · 2024 · Mi, Peiwen et al.
Electrodermal Activity (EDA) Morphologies and Prediction of Engagement with Simple Moving Average Crossover: A Mixed-Method Study ↗ · 2024 · Nandipati, Kishore Kumar et al.
Effects of Chronic Stress and Acute Stress on Driving Performance ↗ · 2024 · Oliver, Myriam et al.
Exploring driving anger-caused impairment of takeover performance among professional taxi drivers · 2024 · Pan, Hengyan et al.
Driver physiological parameters monitoring–initial study in real-road driving ↗ · 2024 · Radev, Hristo et al.
A Novel EEG-Based Assessment of Distraction in Simulated Driving under Different Road and Traffic Conditions · 2024 · Ronca, Vincenzo et al.
Physiological and psychological performance measurement for the practical driving test ↗ · 2024 · Rusch, Tobias et al.
A Novel Adaptive Physio-Behavioral Method for Optimizing Performance: Using Grip Force for Augmenting Driver Training ↗ · 2024 · Sahar, Yotam et al.
EEG oscillatory signatures of increased cognitive control at intersections: a virtual reality driving simulation · 2024 · Senftleben, Ulrike et al.
Behaviour of Pupil Diameter during Authoritative Control Interventions in Driving Automation ↗ · 2024 · Sivakumar, Lalitha et al.
Interacting with Automated Vehicles: Effects of Trait Driving Anger and Time Gaps ↗ · 2024 · Su, Zhizhuo et al.
Multimodal Dataset Construction and Validation for Driving-Related Anger: A Wearable Physiological Conduction and Vehicle Driving Data Approach ↗ · 2024 · Sun, Lichen et al.
A multimodal physiological dataset for driving behaviour analysis · 2024 · Tao, Xiaoming et al.
The Effect of Automated Driving Levels and Road Type on Driver’s Performances in Secondary Tasks and Situation Awareness ↗ · 2024 · The Korean Data Analysis Society et al.
A review of driver cognitive load detection using ECG signals ↗ · 2024 · Tjolleng, Amir et al.
Modelling level 1 situation awareness in driving: A cognitive architecture approach · 2024 · Rehman, Umair et al.