ecg

Electrocardiogram.

652 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.

Heart Rate Variability as a Marker of Cognitive Workload: Influence of Temperature and Task Complexity in Office Settings ↗ · 2026 · Anam, Sadia Israt 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.
The effect of prolonged conditionally automated driving on fatigue, physiological activity, and takeover performance: a driving simulator experiment ↗ · 2026 · Coyne, Rory et al.
Dataset of physiological signals in the use of advanced driver assistance systems (ADAS) ↗ · 2026 · de Castro, Gabriel Martins 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.
Multimodal Assessment of Pilot Cognitive Workload Using ECG and Eye-Tracking Features in Simulated Flight Tasks · 2026 · Guan, Yixuan et al.
Sensing Cognitive Responses Through a Non-Invasive Brain–Computer Interface ↗ · 2026 · Hristov, Hristo et al.
Assessment models for driving comfort and fatigue status based on heart rate variability ↗ · 2026 · Jiang, Weisheng et al.
ECG-Only Cognitive Workload State Classification in Laparoscopic Training Using Raw and Recurrence-Plot Representations ↗ · 2026 · Jin, Kaizhe et al.
Heart Rate Varies With Mental Workload and Performance in Virtual Reality Flight Tasks ↗ · 2026 · Koerner, Jamie et al.
Physiological Assessment of Driver Trust in Automated Vehicles under Distinct Driving Styles · 2026 · Li, Yizheng et al.
Drivers’ Psycho-Physiology Characteristics and Workload Identification in Prairie Highway Work Zones ↗ · 2026 · Lyu, Zhen et al.
Predicting driver distraction using a single channel ear EEG · 2026 · Popov, Tzvetan et al.
Predicting driver fatigue using HRV measures and machine learning. · 2026 · Puspasari, MA et al.
An Experimental Setup for Collecting Physiological Data from Vehicle Drivers ↗ · 2026 · Radev, Hristo et al.
The effect of heart rate variability biofeedback on cortical arousal and its subsequent influence on vigilance: a randomized controlled study · 2026 · Saito, Ryuji et al.
Driving Behavior Recognition Based on Multimodal Physiological Signals under Negative Emotion ↗ · 2026 · shao, shuyu et al.
Safe Drive+: Real-Time Driver Health Monitoring System ↗ · 2026 · SHERIFF, MIRZA et al.
Non-Invasive Stress-Related Hormone Estimation from Vital Signals in Driving Environments ↗ · 2026 · Taniguchi, Nobuhito et al.
A Study on the Correlation Between Driving Behavior and ECG Data in Driving Fatigue. ↗ · 2026 · Wang J et al.
Classifying experienced male drivers’ mental workload on freeway ramps based on heart rate and speed measurements: A real-vehicle experiment ↗ · 2026 · Wang, Jie et al.
Identification of Driving Workload in Plateau Environment: A Naturalistic Driving Study ↗ · 2026 · Yu, Aolin et al.
Exploiting heart rate variability for driver drowsiness detection using wearable sensors and machine learning · 2025 · AlArnaout, Zakwan et al.
Multimodal Fusion of Heart Rate and Gaze Data For Real-Time Driver Monitoring in Naturalistic Driving ↗ · 2025 · Alhumaily, Basim 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.
Passenger Trust and Driver Workload Evaluation via Heart Rate Variability in Bus Services ↗ · 2025 · Ando, Hiroyasu et al.
Analysis of Physiological Parameters and Driver Posture for Prevention of Road Accidents: A Review ↗ · 2025 · Babur, Alparslan et al.
Mental Workload Classification Using Electrocardiogram Data ↗ · 2025 · Behradfar, Mohsen 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.
Predicting Focused and Mind-Wandering States from EEG Signals Recorded During Driving ↗ · 2025 · Castro, Johan et al.
MMDrive: Multi-Modal Remote Physiological Signal Measurement Dataset for Driver Status Monitoring ↗ · 2025 · Choi, Jiho et al.
Meta-Learning for ECG Abnormality Detection During Driving Using a Smart Steering Wheel Device ↗ · 2025 · Dong, Zisu et al.
Analysis of the driver's stress level while driving in Truck Platooning ↗ · 2025 · Gandini, Paolo et al.
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.
Research on driving fatigue detection model in plateau based on steering wheel indicators ↗ · 2025 · Guo, Xinyi 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.
The impact of spiral tunnel characteristics on driver HRV and stress perception: A naturalistic driving experiment ↗ · 2025 · Han, Lei et al.
Recognition of drivers' mental workload in simulated driving using EEG signals from different brain regions and machine learning algorithms ↗ · 2025 · Huang, Jiaqi et al.
Cognitive Load Assessment Using Smartwatch ECG Data: Image Processing and Pan-Tompkins Algorithm for Heart Rate Variability Analysis ↗ · 2025 · Islam, Md Rashedul et al.
On-Road Evaluation of an Unobtrusive In-Vehicle Pressure-Based Driver Respiration Monitoring System ↗ · 2025 · Jain, Sparsh et al.
Driver Drowsiness Detection System by Monitoring Blink Duration and Heart Rate Variability ↗ · 2025 · Jiman, Ahmad A. et al.
Multimodal Data Fusion Architecture for Real-Time Physiological and Vehicular Signal Processing in Driving Contexts ↗ · 2025 · Jiménez Aguilar, Bryan Alexis et al.
Enhancing Heart Rate Detection in Vehicular Settings Using FMCW Radar and SCR-Guided Signal Processing ↗ · 2025 · Kanakapura Sriranga, Ashwini et al.
Driver Behaviour Detection Using Multimodal Physiological Signals and Regularized Deep Kernel Learning ↗ · 2025 · Kaveti, Pavan 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.
Early Driver Fatigue Detection System: A Cost-Effective and Wearable Approach Utilizing Embedded Machine Learning ↗ · 2025 · Lin, Chengyou et al.
Neuroimaging and Physiological Data-driven Autonomous Vehicle Driving Simulation System in Extended Reality ↗ · 2025 · Lynch, Curt et al.
The impact of mind wandering on physiological measures in delegated driving · 2025 · Mazeres, Florence et al.
Contactless Pulse Rate Assessment: Results and Insights for Application in Driving Simulators · 2025 · Nešković, Đorđe D. et al.
Measuring Driver Electrodermal Activity when Exposed to HMIs Conveying Uncertainty in Conditional Automated Driving ↗ · 2025 · Pardo, Jorge et al.
Assessment of Driver Inattention State using Multimodal Attentive Feature Fusion ↗ · 2025 · Pavan, Kaveti et al.
Multimodal Wearable-Based Automated Driver Inattention State Assessment Using Multidevices and Novel Cross-Modal Attention Framework ↗ · 2025 · Pavan, Kaveti et al.
A Taxonomy of Methods, Techniques and Sensors for Acquisition of Physiological Signals in Driver Monitoring Systems ↗ · 2025 · Petrova, Galidiya et al.
Driver Drowsiness Detection Using Real-Time Heart Rate Variability Data ↗ · 2025 · Rabbi, Riadul Islam et al.
Heart Rate Variability-Based Driver Drowsiness Detection Using Recurrent Neural Networks ↗ · 2025 · Rabbi, Riadul Islam et al.
Reflective PPG Sensor Measures Heart Rate Through Clothing During Driving ↗ · 2025 · Radomski, Adrian et al.
Measurement of pilots’ fatigue, attention and vigilance using EEG, ECG and EYE tracking in the simulated environment · 2025 · RUSU, Victoria 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.
Analysis Of The Relation Between Vehicle And Physiological Data ↗ · 2025 · Sándor, Ágoston Pál
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.
Impact of Missing Inter-Beat Intervals on Heart Rate Variability Features and Driver Drowsiness Detection ↗ · 2025 · Styanidis, Aristotelis et al.
Comparative Analysis of Driving Performance and Visual and Physiological Responses Between Professional and Civilian Drivers in Simulated Environments · 2025 · Nagy, Viktor 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.
Towards Generalizable Drowsiness Monitoring with Physiological Sensors: A Preliminary Study ↗ · 2025 · Wang, Jiyao et al.
Study on Detection of Driving Fatigue Based on ECG Collected by a Novel Semi-Dry Electrode ↗ · 2025 · Yao, Wanchao 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.
Design and Realization of a Wearable Necklace for the Assessment of Driver Well-Being Through Heart Rate and Blood Oxygen Saturation Monitoring ↗ · 2024 · Affanni, Antonio et al.
Automated Driver Health Monitoring System in Automobile Industry Using WOA-DBN Using ECG Waveform ↗ · 2024 · Arif, M. K. et al.
Driver Health Monitoring System to Identify Cardiac Problems in Drivers using Live ECG Signal ↗ · 2024 · Arif, M. K. et al.
Recurrent Neural Network with Tunicate Swarm Optimization and Shift Delta Cepstrum for Automated Driver Health Monitoring System ↗ · 2024 · Arif, M. K. et al.
Heart rate dynamics for cognitive load estimation in a driving simulation task · 2024 · Arutyunova, Karina Rollandovna et al.
Assessing the Impact of AR-Assisted Warnings on Roadway Worker Stress Under Different Workload Conditions · 2024 · Banani Ardecani, Fatemeh et al.
Development of a System for Monitoring Driver Comfort via Smartphones ↗ · 2024 · De Palma, Luisa et al.
Predicting Driver Takeover Performance in Conditional Automation (Level 3) through Physiological Sensing · 2024 · Deng, Min et al.
Heart rate variability, recovery and stress analysis of an elite rally driver and co-driver during a competition period ↗ · 2024 · Di Credico, Andrea et al.
Impact of Situation Awareness Variations on Multimodal Physiological Responses in High-Speed Train Driving ↗ · 2024 · Dong, Wenli et al.
Driver Drowsiness Detection Using R-R Interval of Electrocardiogram and Self-Attention Autoencoder ↗ · 2024 · Fujiwara, Koichi et al.
Classification of Driver Cognitive Load in Conditionally Automated Driving: Utilizing Electrocardiography and Eye Tracking · 2024 · Shi, Wenxin et al.
Driver body condition monitoring system based on human-computer interaction · 2024 · Hou, Zhenyang et al.
Skin Conductance Response in Real Driving Settings: Comparison of Analysis Methods ↗ · 2024 · Iadarola, Grazia et al.
Predicting Driver Readiness in Conditional Autonomous Driving: Analyzing Driver Characteristics and Heart Rate Variability ↗ · 2024 · Jang, Eun-Hye et al.
NeuralPOS: Physiological Measurement via Remote Photoplethysmography for Driver Monitoring ↗ · 2024 · Jiang, Titong et al.
Driver Fatigue Detection Using Measures of Heart Rate Variability and Electrodermal Activity ↗ · 2024 · Jiao, Yubo et al.
Electrocardiogram-Based Driver Authentication Using Autocorrelation and Convolutional Neural Network Techniques ↗ · 2024 · Ku, Giwon et al.
Predicting Driver's mental workload using physiological signals: A functional data analysis approach ↗ · 2024 · Lee, Chaeyoung et al.
Assessing the Impact of Secondary Tasks on Heart Rate Variability and Mental Workload in Driving ↗ · 2024 · Lubay, Mary Grace et al.
Cognitive load during driving: EEG microstate metrics are sensitive to task difficulty and predict safety outcomes · 2024 · Ma, Siwei et al.
HEART RATE VARIABILITY BASED DRIVER DROWSINESS DETECTION ↗ · 2024 · Maktouf, Naba Ali et al.
Cardiac indices of driver fatigue across in-lab and on-road studies ↗ · 2024 · Musicant, Oren et al.
Assessment of Driver Stress using Multimodal wereable Signals and Self-Attention Networks ↗ · 2024 · Pavan, Kaveti et al.
Driver physiological parameters monitoring–initial study in real-road driving ↗ · 2024 · Radev, Hristo et al.
Heart rate variability-based detection of driver drowsiness and its validation using EEG ↗ · 2024 · Rajkumar, V. P. et al.
Driving through the Mind: Investigating Driver Cognitive Impairment with Physiological Measures of Mental Workload ↗ · 2024 · Raza, Mansoor et al.
Systematic review of cognitive impairment in drivers through mental workload using physiological measures of heart rate variability · 2024 · Raza, Mansoor S. et al.
Stress influence on real-world driving identified by monitoring heart rate variability and morphologic variability of electrocardiogram signals: the case of intercity roads ↗ · 2024 · Rostamzadeh, Sajjad et al.
Physiological and psychological performance measurement for the practical driving test ↗ · 2024 · Rusch, Tobias et al.
Leveraging Wearable Sensors in Virtual Reality Driving Simulators: A Review of Techniques and Applications ↗ · 2024 · Boboc, Răzvan Gabriel et al.
EEG oscillatory signatures of increased cognitive control at intersections: a virtual reality driving simulation · 2024 · Senftleben, Ulrike et al.
Machine Learning-Based Detection of Driver Distraction by Capacitive Electrocardiogram Signals ↗ · 2024 · Skoric, Tamara et al.
A multimodal physiological dataset for driving behaviour analysis · 2024 · Tao, Xiaoming et al.
Unobtrusive in-car measurement of physiological signals on the road ↗ · 2024 · Teichmann, Daniel et al.
A review of driver cognitive load detection using ECG signals ↗ · 2024 · Tjolleng, Amir et al.
Driver Assistance System for Stress Recognition by Handcrafted Feature Extraction and Convolutional Neural Network ↗ · 2024 · Vaezi, Mahtab et al.
Fatigue Driving Detection and Early Warning System based on EEG Signals · 2024 · Wang, Luoluo et al.
Tracking vigilance fluctuations in real-time: a sliding-window heart rate variability-based machine-learning approach ↗ · 2024 · Xie, Tian et al.
An EEG monitoring method based on compressed sensing for fatigue driving ↗ · 2024 · Xin, Zengnian
Driver Fatigue Detection Using Heart Rate Variability Features from 2-Minute Electrocardiogram Signals While Accounting for Sex Differences ↗ · 2024 · Zeng, Chao et al.
FATCM: Frequency-Aware Temporal Convolution Model for Driver Risk Responsiveness Detection Based on EEG ↗ · 2024 · Zhang, Wenqi et al.
MMPHGCN: A Hypergraph Convolutional Network for Detection of Driver Intention on Multimodal Physiological Signals ↗ · 2024 · Zhang, Wenqi et al.
Monitoring and Analyzing Driver Physiological States Based on Automotive Electronic Identification and Multimodal Biometric Recognition Methods ↗ · 2024 · Zhou, Shengpei et al.
ANGELS - Smart Steering Wheel for Driver Safety ↗ · 2023 · Amidei, Andrea et al.
Driver Attention Assessment Using Physiological Measures from EEG, ECG, and EDA Signals ↗ · 2023 · Aminosharieh Najafi, Taraneh et al.
Drowsiness Transitions Detection Using a Wearable Device ↗ · 2023 · Antunes, Ana Rita et al.
Removing the cardiac field artifact from the <scp>EEG</scp> using neural network regression ↗ · 2023 · Arnau, Stefan et al.
Robust PPG-Based Mental Workload Assessment System Using Wearable Devices ↗ · 2023 · Beh, Win-Ken et al.
Research on driver monitoring system based on vital signs and behavior detection ↗ · 2023 · Chai, Lei
Wrist-Worn Sensor Validation for Heart Rate Variability and Electrodermal Activity Detection in a Stressful Driving Environment ↗ · 2023 · Costantini, Simone et al.
Mental Workload Classification during simulated flight operations based on cardiac and neural dynamics recorded using the MUSE 2 low-cost system · 2023 · Dehais, Frederic et al.
A Neuroergonomic Approach Fostered by Wearable EEG for the Multimodal Assessment of Drivers Trainees · 2023 · Di Flumeri, Gianluca et al.
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.
Multi-Bin Breathing Pattern Estimation by Radar Fusion for Enhanced Driver Monitoring ↗ · 2023 · Gharamohammadi, Ali et al.
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.
ECG-Based Driving Fatigue Detection Using Heart Rate Variability Analysis with Mutual Information ↗ · 2023 · Halomoan, Junartho et al.
Trends in Heart-Rate Variability Signal Analysis ↗ · 2023 · Ishaque, Syem et al.
Empirical stress prediction among drivers utilizing wearable sensors and psychometric signals: Towards smart health ↗ · 2023 · Kaur, Karandeep
Exploration of driver stress when resuming control from highly automated driving in an emergency situation · 2023 · Kerautret, Laora et al.
Exploring hazard anticipation and stress while driving in light of defensive behavior theory · 2023 · Kerautret, Laora et al.
Stress Level Detection Based on the Capacitive Electrocardiogram Signals of Driving Subjects ↗ · 2023 · Škorić, Tamara
Comparison of a smartwatch and an ECG probe as options for monitoring the driver's HRV to determine overall pre-driving status ↗ · 2023 · Lehet, David et al.
Possibilities of using commercial electronics to measure driver physiological functions in a vehicle simulator ↗ · 2023 · Lehet, David
Driver Vigilance Detection Based on Limited EEG Signals ↗ · 2023 · Li, Guofa et al.
Driver Stress Detection Using Ultra-Short-Term HRV Analysis under Real World Driving Conditions ↗ · 2023 · Liu, Kun et al.
Using electroencephalography to analyse drivers’ different cognitive workload characteristics based on on-road experiment · 2023 · Liu, Ruiwei et al.
Workload Assessment of Human-Machine Interface: A Simulator Study with Psychophysiological Measures · 2023 · Liu, Yuan-cheng et al.
The use of cardiac-based metrics to assess secondary task engagement during automated and manual driving: An experimental simulation study · 2023 · Luigi Di Stasi, Leandro et al.
Analysing the Mental Workload of Ship Navigators during Emergencies Based on Physiological Detection Methods ↗ · 2023 · Lyu, Wenchen et al.
Driver Drowsiness Classification using Machine Learning and Heart Rate Variability ↗ · 2023 · Meneses, Miguel V. P. R. et al.
An analysis of physiological responses as indicators of driver takeover readiness in conditionally automated driving ↗ · 2023 · Deng, Min et al.
A Portable Multi-Modal Cushion for Continuous Monitoring of a Driver’s Vital Signs · 2023 · Linschmann, Onno et al.
A feature selection method for driver stress detection using heart rate variability and breathing rate ↗ · 2023 · Parsi, Ashkan et al.
Fit for Duty Assessment of Driver Fatigue based on Statistical Modelling of Cardiovascular Parameters ↗ · 2023 · Picher, Ciara et al.
Design and Development of EEG Signal based Driver Activity Recognition and Monitoring System ↗ · 2023 · R, Ramachandran. et al.
Correlating driving behavior with safety performance: from the heart to the pedals with a driving simulator ↗ · 2023 · Reis, Diogo et al.
Risk assessment and observation of driver with pedestrian using instantaneous heart rate and HRV · 2023 · Kikuta, Riku et al.
Experiment design for Stress data collection while driving in a simulator ↗ · 2023 · Scherz, Wilhelm Daniel et al.
Automatic stress detection in car drivers based on non-invasive physiological signals using machine learning techniques · 2023 · Siam, Ali I. et al.
Driver Mental Stress in Response to Thermal Stress Change during Highway Driving ↗ · 2023 · Song, Donghyun et al.
Automated Vehicle Monitoring Framework based on Machine Learning Architecture for People with Cardiovascular Diseases ↗ · 2023 · Srinivas, Rayudu et al.
A Systematic Review of In-Vehicle Physiological Indices and Sensor Technology for Driver Mental Workload Monitoring · 2023 · Sriranga, Ashwini Kanakapura et al.
Physiological Signals as Predictors of Cognitive Load Induced by the Type of Automotive Head-Up Display ↗ · 2023 · Strle, Gregor et al.
Analyzing Cognitive Load Measurements of the Truck Drivers to Determine Transportation Routes and Improve Safety Driving: A Review Study · 2023 · Sudiarno, Adithya et al.
Evaluating Emotion Regulation Techniques for Supporting Driving Safety and Performance · 2023 · Susindar, Sahinya et al.
How are drivers' stress levels and emotions associated with the driving context? A naturalistic study · 2023 · Tavakoli, Arash et al.
A Novel Semi-Dry Electrode Suitable for Collecting EEG Data for Detecting Driving Fatigue in Long-Period Driving Case ↗ · 2023 · Wang, Fuwang et al.
Robust In-Vehicle Heartbeat Detection Using Multimodal Signal Fusion ↗ · 2023 · Warnecke, Joana M. et al.
Robust in-vehicle respiratory rate detection using multimodal signal fusion ↗ · 2023 · Warnecke, Joana M. et al.
Physiological measurements for driving drowsiness: A comparative study of multi-modality feature fusion and selection ↗ · 2023 · Wu, Yonglin et al.
Development of Detection System Using EEG and ECG To Determine an Onset of Driver Drowsiness Due to Sleep Deprivation ↗ · 2023 · Yaakop, Muhyi et al.
EEG assessment of driving cognitive distraction caused by central control information · 2023 · Zhao, Yan et al.
Comparison of Different Combinations of Ultra-Short-Term HRV Features for Identifying Driving Anger ↗ · 2023 · Zhu, Zhibin et al.
Physiological-based Driver Monitoring Systems: A Scoping Review · 2022 · Abdul Razak, Siti Fatimah et al.
Heart Rate and Pupil Dilation As Reliable Measures of Neuro-Cognitive Load Classification ↗ · 2022 · Abdurrahman, Usman Alhaji et al.
Development of an EEG Headband for Stress Measurement on Driving Simulators · 2022 · Affanni, Antonio et al.
Hypoglycemia Vehicle Detection System Using Non-Invasive Sensors Applying Both EEG And HRV Real Time Measures: Neuroergonomics Theoretical Design · 2022 · Aljuaid, Awad
ECG-Based Driver’s Stress Detection Using Deep Transfer Learning and Fuzzy Logic Approaches ↗ · 2022 · Amin, Muhammad et al.
What's on your mind? A Mental and Perceptual Load Estimation Framework towards Adaptive In-vehicle Interaction while Driving · 2022 · Gomaa, Amr et al.
Driver Monitoring of Automated Vehicles by Classification of Driver Drowsiness Using a Deep Convolutional Neural Network Trained by Scalograms of ECG Signals ↗ · 2022 · Arefnezhad, Sadegh et al.
Real-time Trust Prediction in Conditionally Automated Driving Using Physiological Measures · 2022 · Ayoub, Jackie et al.
Classification of Drivers’ Mental Workload Levels: Comparison of Machine Learning Methods Based on ECG and Infrared Thermal Signals ↗ · 2022 · Cardone, Daniela et al.
EEG-Based Index for Timely Detecting User’s Drowsiness Occurrence in Automotive Applications ↗ · 2022 · Di Flumeri, Gianluca et al.
Mining of the association rules between driver electrodermal activity and speed variation in different road intersections ↗ · 2022 · Distefano, Natalia et al.
A Multimodal Fusion Fatigue Driving Detection Method Based on Heart Rate and PERCLOS ↗ · 2022 · Du, Guanglong et al.
Non-Interference Driving Fatigue Detection System Based on Intelligent Steering Wheel ↗ · 2022 · Du, Guanglong et al.
Use of wearable physiological sensors to predict cognitive workload in a visuospatial learning task ↗ · 2022 · Fine, Michael S. et al.
An Emotion Classification Model for Driver Emotion Recognition Using Electroencephalography (EEG) ↗ · 2022 · Gamage, T. A. et al.
Electrogastrogram-Derived Features for Automated Sickness Detection in Driving Simulator · 2022 · Jakus, Grega et al.
Contactless Vital Sign Monitoring System for In-Vehicle Driver Monitoring Using a Near-Infrared Time-of-Flight Camera ↗ · 2022 · Guo, Kaiwen et al.
An FPGA System for Driver Mobile Usage Detection and Heart Rate-Based Health Monitoring ↗ · 2022 · Heenetimulla, H. D. Suthira M. et al.
Reproduction of mental states in driving using a visual filter ↗ · 2022 · Hiraishi, Hironori
Study on EEG-based carelessness warnings to bus driver ↗ · 2022 · Hong, Sara et al.
Peak Space Motion Artifact Cancellation Applied to Textile Electrode Waist Electrocardiograms Recorded During Outdoors Walking and Jogging ↗ · 2022 · Hopenfeld, Bruce
Mental workload recognition using ECG and machine learning in simulated flight tasks ↗ · 2022 · Jiang, Zebin et al.
Data-Driven Detection and Assessment for Urban Railway Transit Driver Fatigue in Real Work Conditions ↗ · 2022 · Jiao, Yubo et al.
Physiological responses and stress levels of high-speed rail train drivers under various operating conditions - a simulator study in China ↗ · 2022 · Jiao, Yubo et al.
Unravelling the Physiological Correlates of Mental Workload · 2022 · John, Alka Rachel et al.
Interactive effects of task load and music tempo on psychological, psychophysiological, and behavioural outcomes during simulated driving ↗ · 2022 · Karageorghis, Costas I. et al.
Detecting driver fatigue using heart rate variability: A systematic review · 2022 · Lu, Ke et al.
Detecting driver stress and hazard anticipation using real‐time cardiac measurement: A simulator study ↗ · 2022 · Kerautret, Laora et al.
Unobtrusive Measurement of Physiological Features Under Simulated and Real Driving Conditions ↗ · 2022 · Leicht, Lennart et al.
Evaluating mental workload during multitasking in simulated flight ↗ · 2022 · Li, Wenbin et al.
Sensitivity of Electrodermal Activity Features for Driver Arousal Measurement in Cognitive Load: The Application in Automated Driving Systems ↗ · 2022 · Li, Penghui et al.
Toward Nonintrusive Camera-Based Heart Rate Variability Estimation in the Car Under Naturalistic Condition ↗ · 2022 · Liu, Shu et al.
Detecting Driver Sleepiness Using Consumer Wearable Devices in Manual and Partial Automated Real-Road Driving · 2022 · Lu, Ke et al.
Effects of Distracting Behaviors on Driving Workload and Driving Performance in a City Scenario ↗ · 2022 · Luo, Shuang et al.