Detecting drowsiness in drivers, especially multi-level drowsiness, is a difficult problem that
is often approached using neurophysiological signals as the basis for building a reliable …

The new technological advances achieved during the last decade allowed the scientific
community to investigate and employ neurophysiological measures not only for research …

Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …

Although virtual reality (VR) technology has been increasingly applied in the tourism
industry, improving the VR experience of tourists remains a challenge. Based on two …

Driver fatigue evaluation is of great importance for traffic safety and many intricate factors
would exacerbate the difficulty. In this paper, based on the spatial-temporal structure of …

Not just detecting but also predicting impairment of a car driver's operational state is a
challenge. This study aims to determine whether the standard sources of information used to …

At the core of human thought, for the majority of individuals in the developed nations at least,
there is the tacit assumption that as a species we are unfettered by the demands imposed by …

This paper reviews published papers related to neurophysiological measurements (
electroencephalography: EEG, electrooculography EOG; heart rate: HR) in pilots/drivers …

Introduction: Fatigue is one of the most crucial factors that contribute to a decrease of the
operating performance of aircraft pilots and car drivers and, as such, plays a dangerous role …

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 …