The detection of mental fatigue is an important issue in the nascent field of
neuroergonomics. Although machine learning approaches and especially deep learning …

Mental fatigue is a leading cause of motor vehicle accidents, medical errors, loss of
workplace productivity, and student disengagements in e-learning environment …

Fatigue driving has attracted a great deal of attention for its huge influence on automobile
accidents. Recognizing driving fatigue provides a primary but significant way for addressing …

Driver drowsiness is receiving a lot of deliberation as it is a major cause of traffic accidents.
This paper proposes a method which utilizes the fuzzy common spatial pattern optimized …

Mental fatigue during driving poses significant risks to road safety, necessitating accurate
assessment methods to mitigate potential hazards. This study explores the impact of …

Brain computer interface (BCI) has been popular as a key approach to monitor our brains
recent year. Mental states monitoring is one of the most important BCI applications and …

The contribution to stress detection and classification is far beyond demand as the statistics
show that the health and mental illness of society have kept on deteriorating …

Mental fatigue is one of the most typical human infirmities, resulting from an overload of work
and lack of sleep which can reduce one's intellectual resources. Different EEG features have …

This study aimed to measure the spectral power differences in the brain rhythms among a
group of hospital doctors before and after an overnight on-call duty. Thirty-two healthy …

Neurological disorders affect a large part of the population, causing cognitive and motor
impairments. To that end, non-pharmacological interventions targeting support and …