Method of menu selection by gaze movement using AC EOG signals

Shi N.Ichiro Kanoh, Ryoko Futami, Tatsuo Yoshinobu, Nozomu Hoshimiya

研究成果: Article

4 引用 (Scopus)

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A method to detect the direction and the distance of voluntary eye gaze movement from EOG (electrooculogram) signals was proposed and tested. In this method, AC-amplified vertical and horizontal transient EOG signals were classified into 8-class directions and 2-class distances of voluntary eye gaze movements. A horizontal and a vertical EOGs during eye gaze movement at each sampling time were treated as a twodimensional vector, and the center of gravity of the sample vectors whose norms were more than 80% of the maximum norm was used as a feature vector to be classified. By the classification using the κ-nearest neighbor algorithm, it was shown that the averaged correct detection rates on each subject were 98.9%, 98.7%, 94.4%, respectively. This method can avoid strict EOG-based eye tracking which requires DC amplification of very small signal. It would be useful to develop robust human interfacing systems based on menu selection for severely paralyzed patients.

元の言語English
ページ(範囲)1822-1827
ページ数6
ジャーナルIEEJ Transactions on Electronics, Information and Systems
129
発行部数10
DOI
出版物ステータスPublished - 2009
外部発表Yes

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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