Significant advances in embedded technologies hold promise to characterize and monitor
driver's state of alertness and detect critical levels of driver drowsiness in real-time. While …

Driver fatigue is an essential reason for traffic accidents, which poses a severe threat to
people's lives and property. In this review, we summarize the latest research findings and …

A real-time wireless electroencephalogram (EEG)-based brain-computer interface (BCI)
system for drowsiness detection has been proposed. Drowsy driving has been implicated as …

In the field of advanced driver assistance systems (ADAS), effective learning of driver fatigue
characteristics representation is a major challenge due to uncertainties of both real roads …

This study designs and evaluates a contextual and temporal algorithm for detecting
drowsiness-related lane. The algorithm uses steering angle, pedal input, vehicle speed and …

Fatigued driving is a major cause of road accidents. For this reason, the method in this paper
is based on the steering wheel angles (SWA) and yaw angles (YA) information under real …

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 …

We propose a simple method to measure a driver's fatigue state by detecting the driver's grip
force on the steering wheel while driving. We tested the grip force of 36 drivers on the …

Introduction: Whole-body vibration has direct impacts on driver vigilance by increasing
physical and cognitive stress on the driver, which leads to drowsiness, fatigue and road …

Abnormal driving behavior may cause serious danger to both the driver and the public. In
this study, we propose to detect abnormal driving by analyzing normalized driving behavior …