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http://dx.doi.org/10.5302/J.ICROS.2016.16.0075

Development of a Drowsiness Detection System using Retinex Theory and Edge Information  

Kang, Su Min (Department of Electricity and Electronic Engineering, Dankook University)
Huh, Kyung Moo (Department of Electricity and Electronic Engineering, Dankook University)
Lee, Seung-ha (Department of Biomedical Engineering, College of Medicine, Dankook University)
Publication Information
Journal of Institute of Control, Robotics and Systems / v.22, no.9, 2016 , pp. 699-704 More about this Journal
Abstract
In this paper, we propose a development method for a drowsiness detection system using retinex theory and edge information for vehicle safety. Detection of a drowsy state of a driver is very important because the drowsiness of driver is often the main cause of many car accidents. After acquiring an image of the entire face, we executed the pre-process step using the retinex theory. We then applied a technique for the detection of the white pixels using edge information. Experimental results showed that the proposed method improved the accuracy of detecting drowsiness to nearly 98%, and can be used to prevent a car accident caused by the driver's drowsiness.
Keywords
drowsiness detection; edge detection; machine vision;
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Times Cited By KSCI : 4  (Citation Analysis)
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