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

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Development of a Drowsiness Detection System using a Histogram for Vehicle Safety

자동차 안전을 위한 히스토그램 이용 졸음 감지 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 : 2014.11.15
  • Accepted : 2014.12.30
  • Published : 2015.02.01
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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.

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References

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