Brain imaging methods have effectively revealed drivers' underlying psychological and
neural processes when they perform driving tasks and promote driving behavior research in …

Accumulating evidences showed that the optimal brain network topology was altered with
the progression of fatigue during car driving. However, the extent of the discriminative power …

Reliability investigation of measures is important in studies of brain science and
neuroengineering. Measures' reliability hasn't been investigated across brain states, leaving …

Background Mental fatigue is one of the most causes of road accidents. Identification of
biological tools and methods such as electroencephalogram (EEG) are invaluable to detect …

Mental fatigue in drivers is one of the leading causes that give rise to traffic accidents.
Electroencephalography (EEG)-based driving fatigue studies showed promising …

It is important to understand the changes in the characteristics of the brain network in the
state of driving fatigue and to reveal the pattern of functional connectivity between brain …

Neurophysiological signals are crucial intermediaries, through which brain activity can be
quantitatively measured and brain mechanisms are able to be revealed. In particular, non …

Fatigue among drivers is a significant issue in society, and according to organizational
reports, it substantially contributes to accidents. So accurate fatigue detection in drivers …

This study examined the brain source space functional connectivity from the
electroencephalogram (EEG) activity of 48 participants during a driving simulation …

Mental fatigue is complex disorganization that affects the human being's efficiency in work
and daily activities (eg, driving, exercising). Encephalography is routinely used to discern …