Number of accidents during driving is increasing day by day and drowsy driving has been implicated as a causal factor in many accidents. Goal of driver drowsiness detection systems is to reduce these accidents. It has been seen that most of the accidents occur due to driver’s fatigue and a small due to inattention factor, therefore this paper reviews driver’s fatigue monitoring techniques in de...

Drowsiness when in command of a vehicle leads to decline cognitive performance that affects driver behavior, potentially causing accidents. Drowsiness-related road accidents lead severe trauma, economic consequences, impact on others, physical injury and/or even death. Real-time and accurate drowsiness detection warnings systems are necessary schemes reduce tiredness-related driving accident ra...

It has been documented that nearly 25-30% of automobile collisions are potentially associated with driving fatigue. We have little control over sleep propensity when chronically sleep-deprived or suffer from an underlying sleep insufficiency. Drowsy driving is not only a personal but also a public hazard and commercial drivers with alternate shifts are critically at risk. People on monotonous d...

OBJECTIVES Drowsy driving is a serious highway safety problem. If drivers could be warned before they became too drowsy to drive safely, some drowsiness-related crashes could be prevented. The presentation of timely warnings, however, depends on reliable detection. To date, the effectiveness of drowsiness detection methods has been limited by their failure to consider individual differences. Th...

Nowadays, driving support systems, such as car navigation systems, are getting common, and they support drivers in several aspects. It is important for driving support systems to detect status of driver's consciousness. Particularly, detecting driver's drowsiness could prevent drivers from collisions caused by drowsy driving. In this paper, we discuss the various artificial detection methods fo...

OBJECTIVE This study explores the neurophysiological changes, measured using an electroencephalogram (EEG), in response to an arousing warning signal delivered to drowsy drivers, and predicts the efficacy of the feedback based on changes in the EEG. APPROACH Eleven healthy subjects participated in sustained-attention driving experiments. The driving task required participants to maintain thei...