Efficient Drowsiness Detection Algorithm for Active Safety Driving System

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Driver fatigue and drowsiness are very important issues in a large number of car accidents. This paper proposes a driver drowsiness detection algorithm for active safety driving system. The proposed algorithm is based on both the real-time deformable face tracking and drowsiness detection using salient facial features such as the eyes and the mouth. In face tracking process, the proposed algorithm monitors changes of driver's face movement and head gesture using the active shape model. Simultaneously, drowsiness detection process monitors a driver's drowsiness using the extracted facial features in both eye and mouth regions. Experimental results show that the proposed algorithm provides a high drowsiness detection rate.
Publisher
ITC-CSCC
Issue Date
2011-06
Language
ENG
Citation

International Technical Conference on Circuits/Systems, Computers and Communications 2011, pp.480 - 482

URI
http://hdl.handle.net/10203/169470
Appears in Collection
EE-Conference Papers(학술회의논문)
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