Publisher : Institute of Control, Robotics and Systems
DOI : 10.5302/J.ICROS.2016.16.8002
Title & Authors
Development of Sleepy Status Monitoring System using the Histogram and Edge Information of Eyes Kang, Su Min; Huh, Kyung Moo; Joo, Young-Bok;
In this paper, we propose a technique for drowsiness detection using the histogram and edge information of eyes. The drowsiness of vehicle drivers is 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 analyze the changes of the histograms and edges of eye region images, which are acquired using a CCD camera. The experimental results show that our proposed method enhances the accuracy of detecting drowsiness to nearly 99%, and can be used for preventing vehicle accidents caused by the driver's drowsiness.