Journal of Digital Contents Society (디지털콘텐츠학회 논문지)

Digital Contents Society (한국디지털콘텐츠학회)
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Development of Adaptive Eye Tracking System Using Auto-Focusing Technology of Camera

눈동자 자동 추적 카메라 시스템 설계와 구현

  • Wei, Zukuan (College of Computer Science & Engineering, University of Electronic Science and Technology of China) ;
  • Liu, Xiaolong (College of Computer Science & Engineering, University of Electronic Science and Technology of China) ;
  • Oh, Young-Hwan (Dept. of Information & Communication, Korea Nazarene University) ;
  • Yook, Ju-Hye (Dept. of Rehabilitation Technology, Korea Nazarene University)
  • Received : 2012.04.17
  • Accepted : 2012.05.29
  • Published : 2012.06.30
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Abstract

Eye tracking technology tracks human eyes movements to understand user's intention. This technology has been improving slowly and should be used for a variety of occasions now. For example, it enables persons with disabilities to operate a computer with their eyes. This article will show a typical implementation of an eye tracking system for persons with disabilities, after introducing the design principles and specific implementation details of an eye tracking system. The article discussed the realization of self-adapting regulation algorithm in detail. The self-adapting algorithm is based on feedback signal controlling the lens movements to realize automatic focus, and to get a clear eyes image. This CCD camera automatic focusing method has self-adapting capacity for changes of light intensity on the external environment. It also avoids the trouble of manual adjustment and improves the accuracy of the adjustment.

눈동자 추적 기술은 사용자의 의도를 이해하기 위해 눈 움직임을 탐지한다. 이 기술은 최근 점차적으로 발전하였으며 현재에는 여러 경우에 사용될 수 있다. 예를 들어, 장애인이 눈으로 컴퓨터를 사용하게 할 수 있다. 이 논문은 장애인을 위한 눈 추적 시스템 설계 원리, 구체적 적용 사항, 일반적으로 어떻게 적용되고 있는지에 대해 설명한다. 그리고 이를 구현하기 위한 눈동자 자동 추적 알고리즘을 제시한다. 자동 적용 알고리즘은 자동 초점으로 명확한 눈의 이미지를 잡기 위해 렌즈의 움직임을 조정하는 신호 피드백에 기반을 둔다. 이 CCD 카메라 자동 초점 기법은 외부 환경 빛의 강도 변화에 자동 적응하는 기능을 가진다. 이것은 수동 조절의 문제점을 피하고 조절의 정확성에 향상을 가져온다.

Keywords

References

  1. R. J. K. Jacob and K. S. Karn, "Eye Tracking in Hum an Computer Interaction and Usability Research: Re ady to Deliver the Promises," Computer Vision and Image Understanding, Vol. 24, pp. 682-701, 2003.
  2. F. Hatfield and E. A. Jenkins, "Principles and Guideli nes for the Design of Eye/Voice Interaction dialogs, " IEEE, 1996.
  3. A. T. Duchowski and R. Vertegaal, "Eye - Based Interaction in Graphical Systems: Theory & Practic e," SIGGRAPH, New York: ACM, Vol. 7, pp. 456-468, 2000.
  4. Y. N. Zhang, Y. Zhang and C. Y. A. WEN, "New Focus Measure Method Using Moments," Image and Vision Computing, Vol. 18, No. 12, 959-965, 2000. https://doi.org/10.1016/S0262-8856(00)00038-X
  5. R. Argue, M. Boardman and J. Doyle, "Building a Low-Cost Device to Track Eye Movement," Faculty of Computer Science, Dalhousie University, Dec. 9, 2000.
  6. R. Liu, S. An and W. Song, "Single Camera Eye Tracking," Journal of Computer Applications, Vol. 26, No. 9, pp. 2101-2104, 2006.