Measurement of Feature Parameters for Blink Type Classifcation using a High Speed Camera

• Abe Kiyohiko

  College of Engineering, Kanto Gakuin University

• Sato Hironobu

  College of Engineering, Kanto Gakuin University

• Matsuno Shogo

  School of Information Environment, Tokyo Denki University

• Ohi Shoichi

  School of Information Environment, Tokyo Denki University

• Ohyama Minoru

  School of Information Environment, Tokyo Denki University

Bibliographic Information

Other Title

• 高速度カメラによる瞬目種類識別のための特徴パラメータの計測

Abstract

Human eye blinks include voluntary and involuntary blinks. If the voluntary blinks can be classified in automatic, an input decision can be made when user's voluntary blinks occur. We have developed a method for the eye blink detection using a video camera. By using this method, the feature parameters for eye blink types classification can be estimated from these wave patterns. We conducted the experiments to measure the feature parameters by using a high speed camera. In this paper, we present our method for eye blink detection and its feature parameters.

Journal

• IEEJ Transactions on Electronics, Information and Systems

  IEEJ Transactions on Electronics, Information and Systems 134 (10), 1584-1585, 2014

  The Institute of Electrical Engineers of Japan

Keywords

• Blink type
• Feature parameters
• Hi-speed camera
• Image analysis

Details

• CRID: 1390282679585400064
• NII Article ID: 130004694101
• DOI: 10.1541/ieejeiss.134.1584
• ISSN: 13488155
• ISSN: 03854221
• Web Site: https://www.jstage.jst.go.jp/article/ieejeiss/134/10/134_1584/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed