The assessment and prediction of cognitive performance is a key issue for any discipline
concerned with human operators in the context of safety-critical behavior. Most of the …

Electroencephalography-based sleepiness detection system (ESDS) is a brain-computer
interface that evaluates a driver's sleepiness level directly from cerebral activity. The goals of …

Objective To evaluate the effects of lane departure warning (LDW) on single-vehicle,
sideswipe, and head-on crashes. Method Police-reported data for the relevant crash types …

Objective To explore the scope of available research and to identify research gaps on in-
vehicle interventions for drowsiness that utilize driver monitoring systems (DMS) …

Abstract Objective: The National Highway Traffic Safety Administration in the USA estimated
that the effects of drowsiness while driving led to approximately 72,000 crashes, 44,000 …

Both sleep-and task-related factors are thought to contribute to driver fatigue, with each
factor individually associated with deteriorated driving performance. However, the relative …

Rhythmic light, sound and haptic stimuli can improve cognition through neural entrainment
and by modifying autonomic nervous system function. However, the effects and user …

This paper presents a robust fatigue detection system based on binocular consistency,
which integrates artificial modulation into deep learning to guide the learning process and …

Drowsy driving is one of the leading causes of motor vehicle accidents in North America.
This paper presents the use of eye tracking data as a non-intrusive measure of driver …

Safety assessment among sleep-deprived drivers is a challenging research area with only a
few sleep-related studies investigating safety performance during car-following. Therefore …