Eye-Gaze Tracking Method Driven by Raspberry PI Applicable in Automotive Traffic Safety

This paper comes as a response to the fact that, lately, more and more accidents are caused by people who fall asleep at the wheel. Eye tracking is one of the most important aspects in driver assistance systems since human eyes hold much in-formation regarding the driver´s state, like attention level, gaze and fatigue level. The number of times the subject blinks will be taken into account for identification of the subject´s drowsiness. Also the direction of where the user is looking will be estimated according to the location of the user´s eye gaze. The developed algorithm was implemented on a Raspberry Pi board in order to create a portable system. The main determination of this project is to conceive an active eyetracking based system, which focuses on the drowsiness detection amongst fatigue related deficiencies in driving.