OBJECTIVE This study investigated the possibility of using interactive media to help drowsy drivers wake up, thereby enabling them to drive more safely. BACKGROUND Many studies have investigated the negative impacts of driver drowsiness and distraction in cars, separately. However, none has studied the potentially positive effects of slightly interactive media for rousing drowsy drivers to he...

Objective: The aim of this work is to develop a new index to assess the alertness state of drivers based on the respiratory dynamics derived from an inductive band. Background: Detection of drowsiness while driving is a leading objective in advanced driver assistance systems. A biomedical variable like thoracic effort, which is related to autonomic nervous system, provides direct information of...

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...

The recent technology in digital computing created many ways of drowsiness detection. This is important because of the increased numbers of accidents caused by drowsy drivers. In this paper, an approach for detecting drowsiness state by continuously analyzing EEG signals is proposed. Using a single dry-sensor EEG headset, a real-time system that monitors and analyzes the EEG signal of the drive...

In this paper gives ever-increasing number of traffic accidents that are due to a diminished driver’s vigilance level has become a problem of serious concern to society. Drivers with a diminished vigilance level suffer from a marked decline in their perception, recognition, and vehicle-control abilities and, therefore, pose a serious danger to their own life and the lives of other people. Stati...

The potential use of systems that seek to communicate a warning of impending collision directly to the driver is examined. Technological advances in collision-warning systems include reliable, low-cost radars, sensors with low noise levels, and the development of accurate detection algorithms for particular crash types, e.g. rear-end collisions. However, fundamental practical constraints make p...

The risks involved in nighttime driving include drowsy drivers and dangerous vehicles. Prominent among the more dangerous vehicles around at night are the larger vehicles which are usually moving faster at night on a highway. In addition, the risk level of driving around larger vehicles rises significantly when the driver's attention becomes distracted, even for a short period of time. For the ...

ADAS are being developed with many goals: communications, road mark detection, road sign recognition or pedestrian detection. The work presented here is a system that communicates with a GPS, obtains speed data and uses this information in a Real Time Computer Vision System that detects and recognizes road signs, warning the driver in the case of excessive speed when the recognized road sign is...

Automotive collision warning systems (CWS) can enhance hazard identification and management. However, false alarms (FAs), which occur as a random activation of the system not corresponding to a threat and not interpretable by the driver, and unnecessary alarms (UAs), which occur in situations judged hazardous by the algorithm but not by the driver, may limit CWS effectiveness. A driving simulat...

Due to the increasing growth in population, the occurrence of vehicle accidents has also seen an increase. A detailed analysis shows that, around half million accidents occur in a year, in India alone. Drowsiness and sleeping while driving are now identified as one of the reasons behind fatal crashes and highway accidents caused by drivers. Various drowsiness detection techniques researched are...