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Automatic Classification of Eye Blink Types Using a Frame-Splitting Method

  • Kiyohiko Abe
  • Hironobu Sato
  • Shogo Matsuno
  • Shoichi Ohi
  • Minoru Ohyama
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8019)

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.

Keywords

Eye blink Voluntary blink Interlaced image Natural light Input interface 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Kiyohiko Abe
    • 1
  • Hironobu Sato
    • 1
  • Shogo Matsuno
    • 2
  • Shoichi Ohi
    • 2
  • Minoru Ohyama
    • 2
  1. 1.College of EngineeringKanto Gakuin UniversityYokohama-shiJapan
  2. 2.School of Information EnvironmentTokyo Denki UniversityInzai-shiJapan

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