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Published in:
2015 | OriginalPaper | Chapter
Automatic Classification Between Involuntary and Two Types of Voluntary Blinks Based on an Image Analysis
Authors : Hironobu Sato, Kiyohiko Abe, Shoichi Ohi, Minoru Ohyama
Published in: Human-Computer Interaction: Interaction Technologies
Publisher: Springer International Publishing
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Abstract
Several input systems using eye blinking for communication with the severely disabled have been proposed. Eye blinking is either voluntary or involuntary. Previously, we developed an image analysis method yielding an open-eye area as a measurement value. We can extract a blinking wave pattern using statistical parameters yielded from the measurement values. Based on this method, we also proposed an automatic classification method for both involuntary blinking and one type of voluntary blinking. In this paper, we aim to classify a new type of voluntary blinking in addition to the two previous known types. For classifying these three blinking types, a new feature parameter is proposed. In addition, we propose a new classification method based on the measurement results. Our experimental results indicate a successful classification rate of approximately 95 % for a sample of seven subjects using our new classification method between involuntary blinking and two types of voluntary blinking.