background: we determined the levels of subjective and observer drowsiness and facial dynamics changes. methods: this experimental study was done in the virtual reality laboratory of khaje-nasir toosi university of technology in 2015. facial dynamics changes like changes in eyes, mouth and eyebrows were surveyed on twenty-five drivers in 2015bykss (karolinska sleepiness scale) and ord (observer...

driver drowsiness has been one of the main causes of on-road crashes which can lead to death, physical injuries and impose significant costs on the societies. the development of non-intrusive methods to be able to detect driver drowsiness in the early stages of drowsiness is great of importance. this is an educational review and its purpose is to provide recent achievements about non-intrusive ...

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...

Driver drowsiness is one of the major causes of serious traffic accidents, which makes this an area of great socioeconomic concern. Continuous monitoring of drivers’ drowsiness thus is of great importance to reduce drowsiness-caused accidents. This proposed research developed a real-time, nonintrusive driver drowsiness detection system by building biosensors on the automobile steering wheel and...

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...

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...

Drowsiness of driver is one of the causes for accidents. Here is proposal for drowsiness detection and alert using mobile phones. In this system driver has to wear USB EEG headset which is connected to mobile device. EEG will capture live brain signals and send to mobile device. Mobile device has a application installed in it which classifies these live signals and capture sleep /drowsiness rel...

Driver drowsiness is a major, though elusive, cause of traffic crashes. As part of its IVHS/human factors program, NHTSA is supporting research to develop in-vehicle systems . to continuously monitor driver alertness and performance. Scientific support for the feasibility of this countermeasure concept is provided by research showing that: l Drowsy drivers typically do not “drop off’ instantane...