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http://dx.doi.org/10.5370/KIEE.2014.63.12.1667

A Method to Identify the Identification Eye Status for Drowsiness Monitoring System  

Lee, Juhyeon (school of Electrical Engineering, University of Ulsan)
Yoo, Hyoungsuk (School of Electrical Engineering, University of Ulsan)
Publication Information
The Transactions of The Korean Institute of Electrical Engineers / v.63, no.12, 2014 , pp. 1667-1670 More about this Journal
Abstract
This paper describes a method for detecting the pupil region and identification of the eye status for driver drowsiness detection system. This program detects a driver's face and eyes using viola-jones face detection algorithm and extracts the pupil area by utilizing mean values of each row and column on the eye area. The proposed method uses binary images and the number of black pixels to identify the eye status. Experimental results showed that the accuracy of classification eye status(open/close) was above 90%.
Keywords
Drowsiness monitoring system; Eye detection; Eye blinking; Viola-jones face detection;
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