A Calibration Method for Blink Type Classification
Author:
Affiliation:
1. College of Engineering, Kanto Gakuin University
2. School of Information Environment, Tokyo Denki University
Publisher
Institute of Electrical Engineers of Japan (IEE Japan)
Subject
Electrical and Electronic Engineering
Link
https://www.jstage.jst.go.jp/article/ieejeiss/134/7/134_897/_pdf
Reference22 articles.
1. (2) Y. Kajiwara, Y. Murata, H. Kimura, amd K. Abe: “Human-Computer Interface Controlled by Horizontal Directional Eye Movements and Voluntary Blinks Using AC EOG Signals”, IEEJ Trans. EIS, Vol. 132, No. 4, pp. 555-560 (2012-4) (in Japanese)
2. (4) N. Kanou, M. Inoue, Y. Kobayashi, T. Kawakami, and K. Inoue: “Detection of Winking by a Neural Network”, IEEJ Trans. EIS, Vol. 115, No. 3, pp. 367-372 (1995-2) (in Japanese)
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1. A Text Input System Based on Information of Voluntary Blink and Eye-Gaze Using an Image Analysis;Electronics and Communications in Japan;2017-12-26
2. An Automatic Classification Method for Involuntary and Two Types of Voluntary Blinks;Electronics and Communications in Japan;2017-09-15
3. A Text Input System Based on Information of Voluntary Blink and Eye-Gaze Using an Image Analysis;IEEJ Transactions on Electronics, Information and Systems;2017
4. An Automatic Classification Method for Involuntary and Two Types of Voluntary Blinks;IEEJ Transactions on Electronics, Information and Systems;2016
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