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

Detecting drowsiness in drivers, especially multi-level drowsiness, is a difficult problem that
is often approached using neurophysiological signals as the basis for building a reliable …

Driver fatigue detection systems have potential to improve road safety by preventing crashes
and saving lives. Conventional driver monitoring systems based on driving performance and …

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 …

As humans, we experience social stress in countless everyday-life situations. Giving a
speech in front of an audience, passing a job interview, and similar experiences all lead us …

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 …

There are several factors for vehicle accidents during driving such as drivers' negligence,
drowsiness, and fatigue. These accidents can be avoided, if drivers are warned in time …

Driving a vehicle is a complex, multidimensional, and potentially risky activity demanding full
mobilization and utilization of physiological and cognitive abilities. Drowsiness, often caused …

Background and objective Drowsiness behind the wheel is a major road safety issue with
efforts focused on developing drowsy driving detection systems. However, most drowsy …

Fatigue could lead to low efficiency and even serious disaster. In the educational field,
detecting fatigue could help adjust teaching strategies accordingly when a student is …