The increase in vehicle accidents due to the driver drowsiness over the last years highlights the need for developing reliable drowsiness assistant systems by a reference drowsiness measure. Therefore, the thesis at hand is aimed at classifying the driver vigilance state based on eye movements using electrooculography (eog). In order to give an insight into the states of driving, which lead to ...

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'...

Traffic accidents due to human errors cause many deaths and injuries around the world. To help in reducing this fatality, in this research, a new module for Advanced Driver Assistance System (ADAS) for automatic driver drowsiness detection based on visual information and Artificial Intelligence is presented. The aim of this system is to locate, to track and to analyze the face and the eyes to c...

Driver hypovigilance, often caused by fatigue and/or drowsiness, receives increasing attention in the last years; especially after it became evident that hypovigilance is a one of the major factor causing traffic accidents. Monitoring and detecting driver hypovigilance could contribute significantly to improve road traffic safety. This paper proposes fast methods to identify drowsiness and fati...

Every year, traffic accidents due to human errors cause increasing amounts of deaths and injuries globally. To help reduce the amount of fatalities, in the paper presented here, a new module for Advanced Driver Assistance System (ADAS) which deals with automatic driver drowsiness detection based on visual information and Artificial Intelligence is presented. The aim of this system is to locate,...

The purpose of doing this research is to design an application for fast drowsiness detection system, so the rate of traffic accidents due to negligence of the driver can be lowered. This research uses several methods such as the method of analysis that includes literature study, design method and testing method. Then we design and test on how accurate the given data when compared to the real co...

Drowsiness in drivers is the major cause for these fatal road accidents. Hence detecting drowsiness and alerting them on time very important to avoid Researchers have developed several techniques detect driver warn driver. However, past there no work done towards end-to-end system. Therefore, this proposed system, it will ensure that awake through its multi-stage (i.e., three stage) The at firs...

A hybrid system for detecting driver drowsiness was examined by using piezofilm movement sensors integrated into the car seat, seat belt and steering wheel. Statistical associations between increase in the driver drowsiness and the non-invasive and conventional physiological indicators were investigated. Statistically significant associations were established for the analysed physiological indi...