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http://dx.doi.org/10.5391/JKIIS.2008.18.2.223

Intelligent Drowsiness Drive Warning System  

Joo, Young-Hoon (군산대학교 전자정보공학부)
Kim, Jin-Kyu (군산대학교 전자정보공학부)
Ra, In-Ho (군산대학교 전자정보공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.18, no.2, 2008 , pp. 223-229 More about this Journal
Abstract
In this paper. we propose the real-time vision system which judges drowsiness driving based on levels of drivers' fatigue. The proposed system is to prevent traffic accidents by warning the drowsiness and carelessness using face-image analysis and fuzzy logic algorithm. We find the face position and eye areas by using fuzzy skin filter and virtual face model in order to develop the real-time face detection algorithm, and we measure the eye blinking frequency and eye closure duration by using their informations. And then we propose the method for estimating the levels of drivel's fatigue based on measured data by using the fuzzy logic and for deciding whether drowsiness driving is or not. Finally, we show the effectiveness and feasibility of the proposed method through some experiments.
Keywords
Drowsiness warning system; vehicle safety; eye blinking frequency; eye closure duration;
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Times Cited By KSCI : 1  (Citation Analysis)
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