Automatic classification of eye blink types using a frame-splitting method

Authors:
Kiyohiko Abe;Hironobu Sato;Shogo Matsuno;Shoichi Ohi;Minoru Ohyama
Affiliations:
College of Engineering, Kanto Gakuin University, Yokohama-shi, Kanagawa, Japan;College of Engineering, Kanto Gakuin University, Yokohama-shi, Kanagawa, Japan;School of Information Environment, Tokyo Denki University, Inzai-shi, Chiba, Japan;School of Information Environment, Tokyo Denki University, Inzai-shi, Chiba, Japan;School of Information Environment, Tokyo Denki University, Inzai-shi, Chiba, Japan
Venue:
EPCE'13 Proceedings of the 10th international conference on Engineering Psychology and Cognitive Ergonomics: understanding human cognition - Volume Part I
Year:
2013

Citing 3
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Abstract

Human eye blinks include voluntary (conscious) blinks and involuntary (unconscious) blinks. If voluntary blinks can be detected automatically, then input decisions can be made when voluntary blinks occur. Previously, we proposed a novel eye blink detection method using a Hi-Vision video camera. This method utilizes split interlaced images of the eye, which are generated from 1080i Hi-Vision format images. The proposed method yields a time resolution that is twice as high as that of the 1080i Hi-Vision format. We refer to this approach as the frame-splitting method. In this paper, we propose a new method for automatically classifying eye blink types on the basis of specific characteristics using the frame-splitting method.