Title :
Driver fatigue detection through pupil detection and yawing analysis
Author :
Liu, Weiwei ; Sun, Haixin ; Shen, Weijie
Author_Institution :
Key Lab. of Underwater Acoust. Commun. & Marine Inf. Technol., Xiamen Univ., Xiamen, China
Abstract :
Detecting driver fatigue is an important method to improving transportation safety. This paper presents a fatigue detection system based on pupil detection and yawning analysis. The parameters used for detecting fatigue are: eye closure duration measured through eye state information and yawning analyzed through mouth state information. Because of the IR illuminator, the system works robustly at night time.
Keywords :
eye; road safety; sleep; IR illuminator; driver fatigue detection; eye closure duration; eye state information; mouth state information; pupil detection; transportation safety; yawing analysis; Acoustic signal detection; Biomedical monitoring; Cameras; Fatigue; Information analysis; Life estimation; Road accidents; US Department of Transportation; Underwater tracking; Vehicle driving; PERCLOS; driver fatigue; red-eye effect; yawning;
Conference_Titel :
Bioinformatics and Biomedical Technology (ICBBT), 2010 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-6775-4
DOI :
10.1109/ICBBT.2010.5478931
