[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 …

[HTML][HTML] Structural analysis of driver fatigue behavior: a systematic review

H Zhang, D Ni, N Ding, Y Sun, Q Zhang, X Li - Transportation research …, 2023 - Elsevier
Fatigue is always accompany with the driving task, which have been extensively
investigated for driver monitoring and traffic safety. While many scholars dedicate to the …

Driver distraction detection based on vehicle dynamics using naturalistic driving data

X Wang, R Xu, S Zhang, Y Zhuang, Y Wang - Transportation research part …, 2022 - Elsevier
Distracted driving such as phone use during driving is risky, as it increases the probability of
severe crashes. Detecting distraction using Naturalistic Driving Studies was attempted in …

[PDF][PDF] CNN Based Driver Drowsiness Detection System Using Emotion Analysis.

HV Chand, J Karthikeyan - Intelligent Automation & Soft Computing, 2022 - academia.edu
The drowsiness of the driver and rash driving are the major causes of road accidents, which
result in loss of valuable life, and deteriorate the safety in the road traffic. Reliable and …

Applying deep neural networks for multi-level classification of driver drowsiness using Vehicle-based measures

S Arefnezhad, S Samiee, A Eichberger… - Expert Systems with …, 2020 - Elsevier
Drowsy driving is one of the main causes of road accidents. Accurate and reliable detection
of drivers' drowsiness is significantly important to prevent drowsiness-related accidents. In …

Characteristics of driver fatigue and fatigue-relieving effect of special light belt in extra-long highway tunnel: A real-road driving study

P Qin, M Wang, Z Chen, G Yan, T Yan, C Han… - … and Underground Space …, 2021 - Elsevier
To study the characteristics of driver fatigue and effect of a special light belt to relieve driver
fatigue in an extra-long highway tunnel, real-road driving tests were conducted in the …

Relationship between driving styles and biological behavior of drivers in negative emotional state

N Habibifar, H Salmanzadeh - … research part F: traffic psychology and …, 2022 - Elsevier
Objective This paper explores the links between driving style and the biological behavior of
people while driving with dangerous negative emotions (such as anger, anxiety, and fear) …

Fatigue driving detection based on electrooculography: a review

Y Tian, J Cao - EURASIP Journal on Image and Video Processing, 2021 - Springer
To accurately identify fatigued driving, establishing a monitoring system is one of the
important guarantees of improving traffic safety and reducing traffic accidents. Among many …

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 …

Evolution of driver fatigue detection techniques—A review from 2007 to 2021

MK Kamti, R Iqbal - Transportation research record, 2022 - journals.sagepub.com
Driver fatigue is the most important factor in the increase in the frequency of traffic accidents
and fatalities every year. Fatigue impairs driving performance through a lack of …