Continuous advancements in computing technology and artificial intelligence in the past
decade have led to improvements in driver monitoring systems. Numerous experimental …

Human drivers have different driving styles, experiences, and emotions due to unique
driving characteristics, exhibiting their own driving behaviors and habits. Various research …

The ever-increasing automobiles have caused large number of traffic accidents every year.
Fatigue driving and distracted driving are two main reasons for most of traffic accidents …

Driver fatigue is an essential reason for traffic accidents, which poses a severe threat to
people's lives and property. In this review, we summarize the latest research findings and …

The research work about driving drowsiness detection algorithm has great significance to
improve traffic safety. Presently, there are many fruits and literature about driving drowsiness …

Existing visual-based fatigue detection methods usually monitor drivers' fatigue by capturing
their facial features, including eyelid movements, yawn frequency and head pose. However …

Driver fatigue is a contributing factor in about 20% of all fatal road crashes worldwide.
Countermeasures are urgently needed and one of the most promising and currently …

Drowsiness-related car accidents continue to have a significant effect on road safety. Many
of these accidents can be eliminated by alerting the drivers once they start feeling drowsy …

In recent years, the rise of car accident fatalities has grown significantly around the world.
Hence, road security has become a global concern and a challenging problem that needs to …

Internet of things (IoT) cloud-based applications deliver advanced solutions for smart cities
to decrease traffic accidents caused by driver fatigue while driving on the road …