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http://dx.doi.org/10.9728/dcs.2012.13.2.159

Development of Adaptive Eye Tracking System Using Auto-Focusing Technology of Camera  

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)
Publication Information
Journal of Digital Contents Society / v.13, no.2, 2012 , pp. 159-167 More about this Journal
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.
Keywords
Eye Tracking Technology; Automatic Focusing Technology; Self-Adapting Regulating Strategy;
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