Method of menu selection by gaze movement using AC EOG signals

Shinichiro Kanoh, Ryoko Futami, Tatsuo Yoshinobu, Nozomu Hoshimiya

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)1822-1827
Number of pages6
JournalIEEJ Transactions on Electronics, Information and Systems
Volume129
Issue number10
DOIs
Publication statusPublished - 2009
Externally publishedYes

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Keywords

  • Electrooculogram (EOG)
  • Eye gaze movement
  • Human interface
  • Menu selection

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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