Title :
Performance evaluation of statistical approach for drowsiness detection for driver´s with and without spectacles
Author :
Vaisnavi, N.M. ; Santhosh, R.R.
Author_Institution :
Dept. of Electron. Sci., Sathyabama Univ., Chennai, India
Abstract :
An innovative image processing algorithm as Drowsy driver detection methods can form the basis of a system to potentially reduce accidents related to drowsy driving. an image processing algorithms along with non-intrusive approach. In this method Region of Interest (ROI) is going to be an eye, whose statistical property (average blob area) is considered. The fatigue is detected based on the statistical value calculated for the ROI. When fatigue is detected, a warning signal is issued to alert the driver.
Keywords :
driver information systems; fatigue; image processing; ophthalmic lenses; performance evaluation; statistical analysis; drowsiness detection; drowsy driver detection method; fatigue detection; image processing algorithm; nonintrusive approach; performance evaluation; region of interest; spectacle; statistical approach; statistical property; statistical value; warning signal; Driver circuits; Electroencephalography; Fatigue; Image edge detection; Monitoring; Pixel; Vehicles;
Conference_Titel :
Computing Communication and Networking Technologies (ICCCNT), 2010 International Conference on
Conference_Location :
Karur
Print_ISBN :
978-1-4244-6591-0
DOI :
10.1109/ICCCNT.2010.5592541