Title :
Driver fatigue detection based on fuzzy fusion
Author :
Dong, Wenhui ; Qu, Peishu ; Han, Jing
Author_Institution :
Dept. of Phys., Dezhou Coll., Dezhou
Abstract :
A method of driver fatigue detection is proposed in this paper. Kalman filter is used to track the eyes. The curvature of up-eyelid and the distance of eyelid are fused to recognize the states of eye. This method can overcome the disadvantage of using single feature which is half-baked, not exact and uncertain. The test result shows that it can get high correct rate and precision rate.
Keywords :
Kalman filters; driver information systems; fuzzy systems; Kalman filter; driver fatigue detection; eye state recognition; eyelid distance; eyes tracking; fuzzy fusion; up-eyelid curvature; Fatigue; Driver Fatigue; Eye Tracking; Fuzzy Fusion;
Conference_Titel :
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-1733-9
Electronic_ISBN :
978-1-4244-1734-6
DOI :
10.1109/CCDC.2008.4597804
