The advance of computing technology has provided the means for building intelligent vehicle systems. Drowsy driver detection system is one of the potential applications of intelligent vehicle systems. Here we employ machine learning techniques to detect driver drowsiness. The system obtained 98% performance in predicting driver drowsiness. This is the highest prediction rate reported to date fo...

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 a system and a method for detecting driver'...

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 indicate the need of a reliable driver drowsiness detection system which could alert the driver before a mishap happens. Researchers have attempted to determine driver drowsiness using the following measures: (1) vehic...

OBJECTIVE The authors assessed the relationship between traffic accidents and drowsiness. MATERIAL AND METHOD A self-answered questionnaire survey of 4331 commercial bus/truck drivers was done. RESULT Sixty-nine percent of the drivers reported accidents and one third of these accidents was attributable to drowsiness. Drowsy driving and microsleeps were experienced by 75% and 28% of drivers ...

INTRODUCTION Drowsiness is thought to cause about 20% of all road crashes in Australia [1]. However, this is likely to be a conservative estimate as it has not been possible to measure a driver’s drowsiness accurately at the time of the accident. We have developed a system of infrared reflectance oculography IRO (OptalertTM), that makes it possible to monitor alertness/drowsiness continuously, ...

Drowsiness while driving is a major cause of accidents. A driver fatigue detection system that is designed to sound an alarm, when appropriate, can prevent many accidents that sometime leads to the loss of life and property. In this paper, we classify drowsiness detection sensors and their strong and weak points. A compound model is proposed that uses image processing techniques to study the dy...

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 a system and a method for detecting driver'...