Title :
Eye tracking system to detect driver drowsiness
Author :
Nguyen, T.P. ; Chew, M.T. ; Demidenko, S.
Author_Institution :
Centre of Technol., RMIT Univ., Ho Chi Minh City, Vietnam
Abstract :
This paper describes an eye tracking system for drowsiness detection of a driver. It is based on application of Viola Jones algorithm and Percentage of Eyelid Closure (PERCLOS). The system alerts the driver if the drowsiness index exceeds a pre-specified level.
Keywords :
driver information systems; face recognition; gaze tracking; object detection; PERCLOS; Viola Jones algorithm; driver drowsiness detection; drowsiness index; eye tracking system; percentage of eyelid closure; Accuracy; Brightness; Face; Face detection; Fatigue; Feature extraction; Vehicles; PERCLOS; Viola Jones algorithm; drowsiness index; eye tracking frequency;
Conference_Titel :
Automation, Robotics and Applications (ICARA), 2015 6th International Conference on
Conference_Location :
Queenstown
DOI :
10.1109/ICARA.2015.7081194
