Significant advances in embedded technologies hold promise to characterize and monitor
driver's state of alertness and detect critical levels of driver drowsiness in real-time. While …

A large proportion of car accidents are caused by distracted drivers. Thus, comprehensive
analysis and understanding on driver distraction is essential for traffic safety improvement …

Objective. Covert aspects of ongoing user mental states provide key context information for
user-aware human computer interactions. In this paper, we focus on the problem of …

Sustained attention is a process that enables the maintenance of response persistence and
continuous effort over extended periods of time. Performing attention-related tasks in real life …

Mind wandering is a pervasive threat to transportation safety, potentially accounting for a
substantial number of crashes and fatalities. In the current study, mind wandering was …

In recent years, sleepiness during driving has become a main cause for traffic accidents.
However, the fact is that we know very little yet about the electrophysiological marker for …

Investigations of the neuro-physiological correlates of mental loads, or states, have attracted
significant attention recently, as it is particularly important to evaluate mental fatigue in …

We performed simultaneous recordings of electroencephalography (EEG) from multiple
students in a classroom, and measured the inter-subject correlation (ISC) of activity evoked …

Vigilance decrement in driving tasks has been reported to be a major factor in fatal accidents
and could severely endanger public transportation safety. However, efficient approaches for …

Quantitative estimation of a driver's vigilance level has a great value for improving driving
safety and preventing accidents. Previous studies have identified correlations between …