Developing reliable and user-friendly electroencephalography (EEG) electrodes remains a
challenge for emerging real-world EEG applications. Classic wet electrodes are the gold …

A physiological-based driver monitoring system (DMS) has attracted research interest and
has great potential for providing more accurate and reliable monitoring of the driver's state …

Driver fatigue is increasingly a contributing factor for traffic accidents, so an effective method
to automatically detect driver fatigue is urgently needed. In this study, in order to catch the …

Background. Stroke is the leading cause of serious and long‐term disability worldwide.
Survivors may recover some motor functions after rehabilitation therapy. However, many …

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 …

The rising number of traffic accidents has become a major issue in our daily life, which has
attracted the concern of society and governments. To deal with this issue, in our previous …

Driver fatigue is the one of the main reasons of the traffic accidents. The human brain is a
complex structure, whose function can be evaluated with electroencephalogram (EEG) …

Mental fatigue is a psychophysiological state that has an intense adverse effect on the
quality of life, undermining both the mental and the physical health. As a consequence …

With the growing density of air passenger traffic, accurately recognizing the level of mental
fatigue (MF) experienced by air traffic controllers (ATCOs) is crucial for developing intelligent …

Trust in autonomous vehicles (AV) is of critical importance and demands comprehensive
interdisciplinary research. While most studies utilize subjective measures, we employ …