A review of EEG signal features and their application in driver drowsiness detection systems
Detecting drowsiness in drivers, especially multi-level drowsiness, is a difficult problem that
is often approached using neurophysiological signals as the basis for building a reliable …
is often approached using neurophysiological signals as the basis for building a reliable …
How tired is too tired to drive? A systematic review assessing the use of prior sleep duration to detect driving impairment
Driver fatigue is a contributory factor in approximately 20% of vehicle crashes. While other
causal factors (eg, drink-driving) have decreased in recent decades due to increased public …
causal factors (eg, drink-driving) have decreased in recent decades due to increased public …
On-road driving impairment following sleep deprivation differs according to age
Impaired driving performance due to sleep loss is a major contributor to motor-vehicle
crashes, fatalities, and serious injuries. As on-road, fully-instrumented studies of drowsy …
crashes, fatalities, and serious injuries. As on-road, fully-instrumented studies of drowsy …
Neurophysiological mental fatigue assessment for developing user-centered Artificial Intelligence as a solution for autonomous driving
The human factor plays a key role in the automotive field since most accidents are due to
drivers' unsafe and risky behaviors. The industry is now pursuing two main solutions to deal …
drivers' unsafe and risky behaviors. The industry is now pursuing two main solutions to deal …
[HTML][HTML] Driving impairment and altered ocular activity under the effects of alprazolam and alcohol: A randomized, double-blind, placebo-controlled study
Background Alprazolam, also known by trade-name Xanax, is regularly detected along with
alcohol in blood samples of drivers injured or killed in traffic collisions. While their co …
alcohol in blood samples of drivers injured or killed in traffic collisions. While their co …
The impact of 7-hour and 11-hour rest breaks between shifts on heavy vehicle truck drivers' sleep, alertness and naturalistic driving performance
Background An inadequate rest break between shifts may contribute to driver sleepiness.
This study assessed whether extending the major rest break between shifts from 7-hours …
This study assessed whether extending the major rest break between shifts from 7-hours …
PERCLOS-based technologies for detecting drowsiness: current evidence and future directions
T Abe - Sleep Advances, 2023 - academic.oup.com
Drowsiness associated with sleep loss and circadian misalignment is a risk factor for
accidents and human error. The percentage of time that the eyes are more than 80% closed …
accidents and human error. The percentage of time that the eyes are more than 80% closed …
Feeling sleepy? stop driving—awareness of fall asleep crashes
C Anderson, AWT Cai, ML Lee, WJ Horrey, Y Liang… - Sleep, 2023 - academic.oup.com
Abstract Study Objectives To examine whether drivers are aware of sleepiness and
associated symptoms, and how subjective reports predict driving impairment and …
associated symptoms, and how subjective reports predict driving impairment and …
The association of schedule characteristics of heavy vehicle drivers with continuous eye-blink parameters of drowsiness
SS Soleimanloo, TL Sletten, A Clark, JM Cori… - … research part F: traffic …, 2022 - Elsevier
Study objectives While drowsiness contributes to 20% of heavy vehicle crashes, the impact
of work schedules on heavy vehicle driver (HVD) drowsiness is unclear. This study explored …
of work schedules on heavy vehicle driver (HVD) drowsiness is unclear. This study explored …
Event Camera based Eye Motion Analysis: A survey
Neuromorphic vision sensors, commonly referred to as Event Cameras (ECs), have gained
prominence as a field of research in Computer Vision. This popularity stems from the …
prominence as a field of research in Computer Vision. This popularity stems from the …