Citation

Karchani M, Mazloumi A, Saraji GN, Gharagozlou F, Nahvi A, Haghighi KS, Abadi BM, Foroshani AR. Electron. Physician 2015; 7(2): 1073-1077.

Affiliation

Associate Professor, Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.

Copyright

(Copyright © 2015, Mehr Publishing Group)

DOI

10.14661/2015.1073-1077

PMID

26120417

Abstract

Drowsiness while driving is a major cause of accidents. A driver fatigue detection system that is designed to sound an alarm, when appropriate, can prevent many accidents that sometime leads to the loss of life and property. In this paper, we classify drowsiness detection sensors and their strong and weak points. A compound model is proposed that uses image processing techniques to study the dynamic changes of the face to recognize drowsiness during driving.

Language: en