The objective measurement of fatigue is of critical relevance in areas such as occupational
health and safety as fatigue impairs cognitive and motor performance, thus reducing …

Drowsiness is a leading cause of traffic and industrial accidents, costing lives and
productivity. Electroencephalography (EEG) signals can reflect awareness and …

Improving a vehicle driver's performance decreases the damage caused by, and chances of,
road accidents. In recent decades, engineers and researchers have proposed several …

This paper presents a drowsiness on-line detection system for monitoring driver fatigue level
under real driving conditions, based on the data of steering wheel angles (SWA) collected …

This paper proposes a wearable device-based system to monitor the abnormal conditions of
a driver, including stress, fatigue, and drowsiness. The system measures the motional and …

Drowsiness in drivers has become a serious cause of concern due to the occurrences of a
large number of fatalities on the road each year. Lives of pedestrians and passengers are …

The many vehicle crashes that are caused by driver sleepiness each year advocates the
development of automated driver sleepiness detection (ADSD) systems. This study …

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 …

Background Detecting human drowsiness during some critical works like vehicle driving,
crane operating, mining blasting, etc. is one of the safeguards to prevent accidents. Among …

A new Brain-Computer Interface (BCI) technique, which is called a hybrid BCI, has recently
been proposed to address the limitations of conventional single BCI system. Although some …