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This article is part of the series Image and Video Processing for Disability.

Open Access Open Badges Research Article

Automatic Eye Winks Interpretation System for Human-Machine Interface

Che Wei-Gang1*, Chung-Lin Huang12 and Wen-Liang Hwang3

Author Affiliations

1 Department of Electrical Engineering, National Tsing-Hua University, Hsin-Chu, Taiwan

2 Department of Informatics, Fo-Guang University, I-Lan, Taiwan

3 Institute of Information Science, Academic Sinica, Taipei, Taiwan

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EURASIP Journal on Image and Video Processing 2007, 2007:065184  doi:10.1155/2007/65184

The electronic version of this article is the complete one and can be found online at: http://jivp.eurasipjournals.com/content/2007/1/065184

Received:2 January 2007
Revisions received:30 April 2007
Accepted:21 August 2007
Published:8 October 2007

© 2007 Wei-Gang et al.

This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

This paper proposes an automatic eye-wink interpretation system for human-machine interface to benefit the severely handicapped people. Our system consists of (1) applying the support vector machine (SVM) to detect the eyes, (2) using the template matching algorithm to track the eyes, (3) using SVM classifier to verify the open or closed eyes and convert the eye winks into a sequence of codes (0 or 1), and (4) applying the dynamic programming to translate the code sequence to a certain valid command. Different from the previous eye-gaze tracking methods, our system identifies the open or closed eye, and then interprets the eye winking as certain commands for human-machine interface. In the experiments, our system demonstrates better performance as well as higher accuracy.


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