Drowsiness is thought as crucial risk factor which may result in severer traffic accidents. Recently driver’s psychosomatic state adaptive driving support safety function has been highlighted to further reduce the number of traffic accidents. Consequently, reduction effect of psychosomatic adaptive safety function should be clarified to foster its penetration into commercial market. This resear...

A monitoring system is designed in where it receives sensory data via wireless sensor network and further processes the data to indicate the current driving aptitude of the driver. Analyzing information related to fatigue using two distinct methods eye movement monitoring and bio signal processing. It is critical that several sensors are integrated and synchronized for a more realistic evaluati...

The joint time-frequency analysis method represents a signal in both time and frequency. Thus, it provides more information compared to other one-dimensional methods. Several researchers recently used methods such as the wavelet transform, short-time Fourier empirical mode decomposition reported impressive results various electrophysiological studies. current review comprehensive knowledge abou...

Drowsiness and fatigue of automobile drivers reduce the drivers’ abilities of vehicle control, natural reflex, recognition and perception. Such diminished vigilance level of drivers is observed at night driving or overdriving, causing accident and pose severe threat to mankind and society. Therefore it is very much necessary in this recent trend in automobile industry to incorporate driver assi...

This paper describes an efficient detection system to monitor driver vigilance. A regular webcam is used to point directly towards the driver’s face and monitors the driver’s eyes in order to detect drowsiness in about real-time. Image processing technology is involved to analyze images of the driver's face taken by a regular webcam. Alertness is detected based on the degree to which the driver...

Eye detection and tracking can be used in intelligent human-computer interfaces, driver drowsiness detection, security, and biology systems. In this paper a new method for eye detection based on some new rectangle features is proposed, with these features the Adaboost cascade classifiers are trained for eye detection. Then with the characteristics of symmetry of the eyes some of the geometric c...

This paper concerns research towards the provision of a rich set of road vehicle driver assistance modes to reduce the stress and improve the safety of negotiating both on-road and offroad terrain. These modes include navigation planning, potential collision warnings, blind spot and rear traffic monitoring, backing assistance, drowsiness detection and night vision enhancement. The approach take...