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Drowsiness-drive Perception System Using Vision  

Joo, Young-Hoon (군산대 공대 전자정보공학부)
Kim, Jin-Kyu (군산대 공대 전자정보공학부)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.57, no.12, 2008 , pp. 2281-2284 More about this Journal
Abstract
The purpose of this paper is to develope the drowsiness-drive perception system which judges drowsiness driving based on drivers' eye region using single vision system. To do this, first, we use the Haar-like feature and AdaBoost learning algorithm for detecting the features of the face region. And we measure the eye blinking frequency and eye closure duration from these feature data. And then, we propose the drowsiness-drive detection algorithm using the eye blinking frequency and eye closure duration. Finally, we have shown the effectiveness and feasibility of the proposed method through some experiments.
Keywords
Drowsiness warning; Haar-like feature; AdaBoost algorithm; Vision; Fuzzy logic;
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