The various non-standard schedules required of shift workers force abrupt changes in the
timing of sleep and light-dark exposure. These changes result in disturbances of the …

As driving functions become increasingly automated, motorists run the risk of becoming
cognitively removed from the driving process. Psychophysiological measures may provide …

Driving Behavior (DB) is a complex concept describing how the driver operates the vehicle
in the context of the driving scene and surrounding environment. Recently, DB assessment …

Over the last decade, passive brain–computer interface (BCI) algorithms and biosignal
acquisition technologies have experienced a significant growth that has allowed the real …

Wireless electroencephalography (EEG) systems have been attracting increasing attention
in recent times. Both the number of articles discussing wireless EEG and their proportion …

Introduction: Drowsiness is one of the main contributors to road-related crashes and
fatalities worldwide. To address this pressing global issue, researchers are continuing to …

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 …

Detecting the mental state of a driver using electroencephalography (EEG) signals can
reduce the probability of traffic accidents. However, EEG signals are unstable and nonlinear …

Road vehicle accidents are mostly due to human errors, and many such accidents could be
avoided by continuously monitoring the driver. Driver monitoring (DM) is a topic of growing …

In recent years, the rise of car accident fatalities has grown significantly around the world.
Hence, road security has become a global concern and a challenging problem that needs to …