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 …

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 …

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

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 …

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 …

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 …

Vehicle accidents on long routes around the world are frequently caused by drowsy drivers.
It is mainly because there is no system that measures alertness. The driver will be notified to …

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 …

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

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 …