In the past decades, there have been numerous advancements in the field of technology.
This has led to many scientific breakthroughs in the field of medical sciences. In this, rapidly …

To accurately identify fatigued driving, establishing a monitoring system is one of the
important guarantees of improving traffic safety and reducing traffic accidents. Among many …

We draw on cognitive and behavioural theories and on the artificial intelligence literature in
order to propose a framework of future operator–workstation interaction in the 'Industry …

In addition to vehicle control, drivers often perform secondary tasks that impede driving.
Reduction of driver distraction is an important challenge for the safety of intelligent …

Distraction while driving occurs when a driver is engaged in non-driving activities. These
activities reduce the driver's attention and focus on the road, therefore increasing the risk of …

Various studies have shown that the traditional electrooculograms (EOGs) are effective for
driving fatigue detection. However, the electrode placement of the traditional EOG recording …

Previous research shows that human eye movements can serve as a valuable source of
information about the structural elements of the oculomotor system and they also can open a …

Abstract Background: Slow eye movements (SEMs), which occurs during eye-closed periods
with high time coverage rate during simulated driving process, indicate drivers' sleep onset …

Rapid and accurate detection of driver fatigue is of great significance to improve traffic
safety. In the present work, we propose the man-machine response mode (MRM) to relieve …

Slow eye movements (SEMs) indicate sleep onset period but are rarely studied in the field of
driver fatigue detection. Through visual observation and statistical analysis we find that …