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Kauai, HI, USA
Dec. 8, 2001 to Dec. 14, 2001
ISBN: 0-7695-1272-0
pp: 1010
Kristen Grauman , MIT AI Lab
Margrit Betke , Boston University
James Gips , Boston College
Gary R. Bradski , Intel Corporation
ABSTRACT
A method for a r eal-time vision system that automatically detects a user's eye blinks and accurately measures their durations is introduced. The system is intended to provide an alternate input modality to allow people with severe disabilities to access a computer. Voluntary long blinks trigger mouse clicks, while involuntary short blinks are ignored. The system enables communication using "blink patterns:" sequences of long and short blinks which are interpreted as semiotic messages. The location of the eyes is determined automatically through the motion of the user's initial blinks. Subsequently, the eye is tracked by correlation across time, and appearance changes are automatically analyzed in order to classify the eye as either open or closed at each frame. No manual initialization, special lighting, or prior face detection is r equired. The system has been tested with interactive games and a spelling program. Results demonstrate overall detection accuracy of 95.6% and an average rate of 28 frames per second.
INDEX TERMS
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CITATION
Kristen Grauman, Margrit Betke, James Gips, Gary R. Bradski, "Communication via Eye Blinks - Detection and Duration Analysis in Real Time", CVPR, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001 2001, pp. 1010, doi:10.1109/CVPR.2001.990641
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