Automatic Classification Between Involuntary and Two Types of Voluntary Blinks Based on an Image Analysis

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• 关键词：Eye blink detection ; Input interface ; Automatic classification ; Voluntary eye blink ; Involuntary eye blink
• 刊名：Lecture Notes in Computer Science
• 出版年：2015
• 出版时间：2015
• 年：2015
• 卷：9170
• 期：1
• 页码：140-149
• 全文大小：552 KB
• 参考文献：1.Grauman, K., Betke, M., Lombardi, J., Gips, J., Bradski, G.R.: Communication via eye blinks and eyebrow raises: video-based human-computer interfaces. Univ. Access Inf. Soc. 2(4), 359-73 (2003)View Article
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  7.Lim, H., Vinay, K.S.: Design of healthcare system for disable person using eye blinking. In: 4th Annual ACIS International. Conference on Computer and Information Science (ICIS 2005), pp. 551-55. IEEE, New York (2005)
  8.Stern, J.A., Walrath, L.C., Goldstein, R.: The endogenous eyeblink. Psychophysiology 21(1), 22-3 (1984)View Article
  9.Abe, K., Sato, H., Matsuno, S., Ohi, S., Ohyama, M.: Automatic classification of eye blink types using a frame-splitting method. In: Harris, D. (ed.) EPCE 2013, Part I. LNCS, vol. 8019, pp. 117-24. Springer, Heidelberg (2013)
  10.Ohzeki, K., Ryo, B.: Video analysis for detecting eye blinking using a high-speed camera. In: 40th Asilomar Conference on Signals, Systems and Computers, pp. 1081-085. IEEE, New York (2006)
  
• 作者单位：Hironobu Sato (14)
  Kiyohiko Abe (14)
  Shoichi Ohi (15)
  Minoru Ohyama (15)
  
  14. College of Engineering, Kanto Gakuin University, 1-50-1 Mutsuura-Higashi, Kanazawa-Ku, Yokohama-Shi, Kanagawa, 236-8501, Japan
  15. School of Information Environment, Tokyo Denki University, 2-1200, Muzaigakuendai, Inzai-Shi, Chiba, 270-1382, Japan
  
• 丛书名：Human-Computer Interaction: Interaction Technologies
• ISBN：978-3-319-20916-6
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

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.