This project is the extension of NATSRL FY 2008 and FY2009 projects, titled as “Real-time Nonintrusive Detection of Driver Drowsiness”, which aims to develop a real-time, nonintrusive driver drowsiness detection system to reduce drowsiness-caused accidents. In our previous research, nonintrusive sensors for driver’s heart beat measurement were developed and implemented on the vehicle steering w...

Driver drowsiness is a major cause of mortality in traffic accidents worldwide. Electroencephalographic (EEG) signal, which reflects the brain activities, is more directly related to drowsiness. Thus, many Brain-Machine-Interface (BMI) systems have been proposed to detect driver drowsiness. However, detecting driver drowsiness at its early stage poses a major practical hurdle when using existin...

The purpose of this paper is to develop a driver drowsiness and monitoring system that could act as an assistant the during driving process. aimed at reducing fatal crashes caused by driver’s distraction. For drowsiness, operates analysing eye blinks yawn frequency while for distraction, works based on head pose estimation tracking. alarm will be triggered if any these conditions occur. Main pa...

The primary reason for road accidents is drowsiness reported by National Highway Traffic Safety Administration (NHTSA). To overcome this issue, researchers have proposed and implemented various methods based on driver behaviour vehicle movements. Vehicle-based often rely a set of predetermined parameters to detect drowsiness, such as changes in steering wheel angle or lane deviation. However, t...

Drowsy driving is one of the leading causes traffic accidents all over world. Driving in a monotonous manner for an extended amount time without stopping tiredness and catastrophic accidents. Drowsiness has potential to ruin many people’s lives. As result, real-time system that simple create configure early accurate sleepiness detection required. In this study, vision-based called Driver Detect...

The main idea behind this project is to develop a system which can detect drowsiness of the driver and giving an indication in the form of alarm. Since a large number of road accidents occur due to the driver drowsiness, here we are proposing a new transportation system which will reduce the accidents. This system will monitor the driver’s eyes using camera and face detection which is very impo...

Today most accidents are caused by drivers’ fatigue, drowsiness and losing attention on the road ahead. In this paper, a system is introduced, using RGB-D cameras to automatically identify drowsiness and give warning. In this system two important modules have been utilized simultaneously to identify the state of driver’s mouth and eyes for detecting drowsiness. At first, using the depth informa...

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. Since car accidents may be caused by the driver’s tiredness, there are some assistance systems designed for bringing the attention of a driver. In this paper, we review different measures and discuss its advantages and limitation...