In recent years, driver drowsiness has been one of the major causes of road accidents and
can lead to severe physical injuries, deaths and significant economic losses. Statistics …

In this paper, we review the state-of-the-art technologies for driver inattention monitoring,
which can be classified into the following two main categories: 1) distraction and 2) fatigue …

Driver's fatigue is one of the major causes of traffic accidents, particularly for drivers of large
vehicles (such as buses and heavy trucks) due to prolonged driving periods and boredom in …

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 …

Objective: An experiment studied the frequency and correlates of driver mind wandering.
Background: Driver mind wandering is associated with risk for crash involvement. The …

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 …

In this paper, we present a novel approach to deal with the problem of detecting whether the
eyes in a given still face image are closed, which has wide potential applications in human …

Mind wandering is a ubiquitous phenomenon where attention involuntarily shifts from task-
related thoughts to internal task-unrelated thoughts. Mind wandering can have negative …

Driver distraction, defined as the diversion of attention away from activities critical for safe
driving toward a competing activity, is increasingly recognized as a significant source of …

Accurate classification of eye state is a prerequisite for preventing automobile accidents due
to driver drowsiness. Previous methods of classification, based on features extracted for a …