Drivers who do not take regular breaks when driving long distances run a high risk of becoming drowsy a state which they often fail to recognize early enough according to the experts. Studies show that around one quarter of all serious motorway accidents are attributable to sleepy drivers in need of a rest, meaning that drowsiness causes more road accidents than drink-driving. Attention assist ...

This paper presents the method of detecting driver’s drowsiness level from the facial expression. The motivation for this research is to realize the novel safety system which can detect the driver’s slight drowsiness and keep the driver awake while driving. The brain wave is commonly used as the drowsiness index. However, it is not suitable for the in-vehicle system since it is measured with se...

BACKGROUND Sedating antihistamines may impair driving performance as seriously as alcohol. OBJECTIVE To compare the effects of fexofenadine, diphenhydramine, alcohol, and placebo on driving performance. DESIGN Randomized, double-blind, double-dummy, four-treatment, four-period crossover trial. SETTING The Iowa Driving Simulator. PARTICIPANTS 40 licensed drivers with seasonal allergic rh...

Several approaches were proposed for the detection and prediction of drowsiness. The approaches can be categorized as estimating the fitness of duty, modeling the sleep-wake rhythms, measuring the vehicle based performance and online operator monitoring. Computer vision based online operator monitoring approach has become prominent due to its predictive ability of detecting drowsiness. Previous...

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...

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, ...

The aim of our project is to provide a real time non-intrusive driver drowsiness detection to prevent the rapidly growing accidents caused by sleepy or drunk driver. We are going to merge the 2 requirements for safe driving in a single equipment. The car does not function unless the two conditions of safe driving are satisfied. Bio signals, such as brain waves, pulsation waves, and heart beat a...

Driving with drowsiness is one of the main causes of traffic accidents. Driver fatigue is a significant factor in a large number of vehicle accidents. The development of technologies for detecting or preventing drowsiness at the wheel is a major challenge in the field of accident avoidance systems. Due to the hazard that drowsiness presents on the road, methods need to be developed for countera...

now a day’s Road accidents are common in developed as well as developing countries. These accidents happen due to different different reasons like sleeping disorders, working in night shift or more than eight hours as over time, side effects of medicine, alcohol, speeding, freakishness of teenager’s etc. One of the most important reasons is drowsiness. Drowsiness means sleepiness, which affects...