Mental fatigue refers to the decline in cognitive abilities that can occur as a result of
prolonged mental exertion. Neuroscientists have been studying mental fatigue for a while …

Driver drowsiness is one of the main causes of traffic accidents today. In recent years, driver
drowsiness detection has suffered from issues integrating deep learning (DL) with Internet-of …

The main purpose of a detection system is to ascertain the state of an individual's eyes,
whether they are open and alert or closed, and then alert them to their level of fatigue. As a …

Driver fatigue and distracted driving are the two most common causes of major accidents.
Thus, the on-board monitoring of driving behaviors is key in the development of intelligent …

Currently, the number of vehicles in circulation continues to increase steadily, leading to a
parallel increase in vehicular accidents. Among the many causes of these accidents, human …

Distracted human driver detection is an important feature that should be included in most
levels of autonomous cars, because most of these are still under development. Hereby, this …

Drowsiness is characterized by decreased alertness and an increased inclination to fall
asleep, typically from factors such as fatigue, sleep deprivation, or other related influences …

Nighttime driving presents a critical challenge to road safety due to insufficient lighting and
increased risk of driver fatigue. Existing methods for monitoring driver fatigue, mainly …

This study refines the YOLOv7-tiny model through structured pruning and architectural fine-
tuning, specifically for real-time eye state detection. By focusing on enhancing the model's …

In long, stressful operational periods, military personnel face numerous challenges that may
compromise their performance, an especially important one being fatigue. Current literature …