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 …

Electroencephalography (EEG) is the signal of intrigue that has immense application in the
clinical diagnosis of various neurological, psychiatric, psychological, psychophysiological …

In the past decade, deep learning techniques have powered many aspects of our daily life,
and drawn ever-increasing research interests. However, conventional deep learning …

Nowadays, automatic deception detection has received considerable attention in the
machine learning community owing to this research interest to its vast applications in the …

The scalp electroencephalogram (EEG)-based epileptic seizure/nonseizure detection has
been comprehensively studied, and fruitful achievements have been reported in the past …

Fatigue detection for drivers in public transportation is crucial. To effectively detect the
driver's fatigue state, we investigated the deep learning-based fatigue detection method and …

Driver vigilance estimation is an important task for transportation safety. Wearable and
portable brain-computer interface devices provide a powerful means for real-time monitoring …

Recently, electroencephalogram (EEG) has been receiving increasing attention in driving
fatigue attention because it is generated by the neural activities of central nervous system …

Brain-computer interface (BCI) is a communication system that allows a direct connection
between the human brain and external devices, which is able to provide assistance and …

The construction industry substantially contributes to the economic growth of a country.
However, it records a large number of workplace injuries and fatalities annually due to its …