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http://dx.doi.org/10.5302/J.ICROS.2015.14.9004

Development of a Drowsiness Detection System using a Histogram for Vehicle Safety  

Kang, Su Min (Department of Electronics Engineering, Dankook University)
Huh, Kyung Moo (Department of Electronics Engineering, Dankook University)
Joo, Young-Bok (Department of Computer Science & Engineering, Korea University of Technology & Education)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.21, no.2, 2015 , pp. 102-107 More about this Journal
Abstract
In this paper, we propose a technique of drowsiness detection using a histogram for vehicle safety. The drowsiness of vehicle drivers is often the main cause of many vehicle accidents. Therefore, the checking of eye images in order to detect the drowsiness status of a driver is very important for preventing accidents. In our suggested method, we analyse the changes of a histogram of eye region images which are acquired using a CCD camera. We develop a drowsiness detection system using this histogram change information. The experimental results show that the proposed method enhances the accuracy of detecting drowsiness to nearly 97%, and can be used to prevent accidents due to driver drowsiness.
Keywords
drowsiness detection; histogram; vehicle safety; eye image; image processing;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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