Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Development of Sleepy Status Monitoring System using the Histogram and Edge Information of Eyes

눈의 히스토그램과 에지를 이용한 졸린 상태 감시 시스템 개발

  • 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)
  • 강수민 (단국대학교 전자공학과) ;
  • 허경무 (단국대학교 전자공학과) ;
  • 주영복 (한국기술교육대학교 컴퓨터공학부)
  • Received : 2016.01.04
  • Accepted : 2016.02.17
  • Published : 2016.05.01
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Abstract

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.

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References

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