Driver fatigue has been attributed to traffic accidents; therefore, fatigue-related traffic
accidents have a higher fatality rate and cause more damage to the surroundings compared …

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

With rapid advances in the field of autonomous vehicles (AVs), the ways in which human–
vehicle interaction (HVI) will take place inside the vehicle have attracted major interest 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 …

In this paper, we review the state-of-the-art technologies for driver inattention monitoring,
which can be classified into the following two main categories: 1) distraction and 2) fatigue …

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 …

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 important contributor to road accidents. This paper reports a study that
evaluated driver fatigue using multimodal fatigue measures, ie, surface electromyography …

Introduction: The field of artificial intelligence (AI) is rapidly expanding, with many
applications seen routinely in health care, industry, and education, and increasingly in …

Due to the increasing number of fatal traffic accidents, there are strong desire for more
effective and convenient techniques for driving fatigue detection. Here, we propose a unified …