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

fYear

2010

fDate

29-31 July 2010

Firstpage

1

Lastpage

5

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing Communication and Networking Technologies (ICCCNT), 2010 International Conference on

Conference_Location

Karur

Print_ISBN

978-1-4244-6591-0

Type

conf

DOI

10.1109/ICCCNT.2010.5592541

Filename

5592541