Towards Implicit Interaction in Highly Automated Vehicles-A Systematic Literature Review

A Stampf, M Colley, E Rukzio - Proceedings of the ACM on Human …, 2022 - dl.acm.org
The inclusion of in-vehicle sensors and increased intention and state recognition
capabilities enable implicit in-vehicle interaction. Starting from a systematic literature review …

Cardiac indices of driver fatigue across in-lab and on-road studies

O Musicant, B Richmond-Hacham, A Botzer - Applied Ergonomics, 2024 - Elsevier
Driver fatigue is a major contributor to road accidents. Therefore, driver assistance systems
(DAS) that would monitor drivers' states may contribute to road safety. Such monitoring can …

A novel classification method for a driver's cognitive stress level by transferring interbeat intervals of the ECG signal to pictures

J Huang, X Luo, X Peng - Sensors, 2020 - mdpi.com
In this study, a novel classification method for a driver's cognitive stress level was proposed,
whereby the interbeat intervals extracted from an electrocardiogram (ECG) signal were …

Viability of cardiac parameters measured unobtrusively using capacitive coupled electrocardiography (cECG) to estimate driver performance

R Bhardwaj, V Balasubramanian - IEEE Sensors Journal, 2019 - ieeexplore.ieee.org
A non-contact capacitive coupled electrocardiography (cECG) system to estimate driver's
fatigue is presented in this paper. Twenty male volunteers participated in this paper on a …

Study to determine the effectiveness of deep learning classifiers for ECG based driver fatigue classification

R Bhardwaj, P Natrajan… - 2018 IEEE 13th …, 2018 - ieeexplore.ieee.org
Driving fatigue is one of the significant factor cause road accidents which often result in huge
socio-economic loss to the country. The real-time, accurate driver fatigue and drowsiness …

[HTML][HTML] Monitoring fatigue and drowsiness in motor vehicle occupants using electrocardiogram and heart rate− a systematic review

A Freitas, R Almeida, H Gonçalves, G Conceição… - … research part F: traffic …, 2024 - Elsevier
Background Fatigue is a complex state resulting in decreased alertness, often accompanied
by drowsiness. Driving fatigue has significantly contributed to traffic accidents globally …

Unraveling the complex interplay between curved tunnels and drivers' physiological responses: An HRV perspective

L Han, Z Du - Transportation Research Part F: Traffic Psychology and …, 2025 - Elsevier
This study aims to unravel the complex interplay between curved tunnels and drivers'
physiological responses from an HRV (Heart Rate Variability) perspective. A group of 30 …

Optimal feature‐algorithm combination research for EEG fatigue driving detection based on functional brain network

Y Zhou, CQ Zeng, ZD Mu - IET Biometrics, 2023 - Wiley Online Library
With the increasing number of motor vehicles globally, the casualties and property losses
caused by traffic accidents are substantial worldwide. Traffic accidents caused by fatigue …

Fatigue management: a systematic review of objective measurement techniques for cognitive fatigue

A Dickens, AJ Champion… - Journal of Clinical and …, 2024 - Taylor & Francis
Background Cognitive fatigue is a complex psychobiological state whereby task
performance cannot be maintained. Return-to-work protocols typically rely on self-report …

Comparison of Driver Fatigue Trend on simulator and on-road driving based on EMG correlation

R Bhardwaj, S Parameswaran… - 2018 IEEE 13th …, 2018 - ieeexplore.ieee.org
Electromyography (EMG) is considered to be the good measure of muscles activity and also
known as the gold standard for estimating muscle fatigue. In this study, we have estimated …