[HTML][HTML] A systematic review on detection and prediction of driver drowsiness

ME Shaik - Transportation research interdisciplinary perspectives, 2023 - Elsevier
Driver drowsiness has emerged as one of the key factors in recent times' traffic accidents,
which can result in fatalities, serious physical losses, large monetary losses, and significant …

Sleepiness and the transition from wakefulness to sleep

T Andrillon, J Taillard, M Strauss - Neurophysiologie Clinique, 2024 - Elsevier
The transition from wakefulness to sleep is a progressive process that is reflected in the
gradual loss of responsiveness, an alteration of cognitive functions, and a drastic shift in …

Fatigue at the wheel: A non-visual approach to truck driver fatigue detection by multi-feature fusion

C He, P Xu, X Pei, Q Wang, Y Yue, C Han - Accident Analysis & Prevention, 2024 - Elsevier
Background Monitoring of long-haul truck driver fatigue state has attracted considerable
interest. Conventional fatigue driving detection methods based on the physiological and …

Fusion of EEG and eye blink analysis for detection of driver fatigue

M Shahbakhti, M Beiramvand, E Nasiri… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
Objective: The driver fatigue detection using multi-channel electroencephalography (EEG)
has been extensively addressed in the literature. However, the employment of a single …

[HTML][HTML] Validation and interpretation of a multimodal drowsiness detection system using explainable machine learning

MM Hasan, CN Watling, GS Larue - Computer Methods and Programs in …, 2024 - Elsevier
Background and objective Drowsiness behind the wheel is a major road safety issue with
efforts focused on develo** drowsy driving detection systems. However, most drowsy …

Driver fatigue detection using measures of heart rate variability and electrodermal activity

Y Jiao, C Zhang, X Chen, L Fu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper investigated the feasibility and reliability of employing various physiological
measures-for determining drivers' fatigue levels, which may ultimately lead to a solution for …

Facial feature-based drowsiness detection with multi-scale convolutional neural network

V Vijaypriya, M Uma - IEEE Access, 2023 - ieeexplore.ieee.org
Recently, the upsurge in accidents is caused due to driver drowsiness arises due to lack of
sleep, fatigue and other health factors. The drowsiness leads to mortality, loss of properties …

Measuring habituation to auditory warnings using behavioral and physiological data

J Chae, S Hwang, Y Kang - Journal of Construction Engineering and …, 2024 - ascelibrary.org
Habituation to auditory warnings is a phenomenon where an individual exposed to frequent
auditory warnings responds slowly to them. Repetitive auditory warnings are triggered to …

[HTML][HTML] Investigating the role of data preprocessing, hyperparameters tuning, and type of machine learning algorithm in the improvement of drowsy EEG signal …

F Farhangi - Intelligent Systems with Applications, 2022 - Elsevier
Driver drowsiness leads to fatal road traffic accidents. The effects of drowsy driving on
electroencephalogram (EEG) signal are well visible. Accordingly, classifying EEG signal …

The impact of non-driving related tasks on the development of driver sleepiness and takeover performances in prolonged automated driving

H Pan, H He, Y Wang, Y Cheng, Z Dai - Journal of safety research, 2023 - Elsevier
Introduction: Vehicle automation is thought to improve road safety since numerous accidents
are caused by human error. However, the lack of active involvement and monotonous …