Development of an Eye-Gaze Input System with High Speed and Accuracy through Target Prediction Based on Homing Eye Movements

Atsuo Murata, Toshihisa Doi, Kazushi Kageyama, Waldemar Karwowski

Research output: Contribution to journalArticlepeer-review

Abstract

In this study, a method to predict a target on the basis of the trajectory of eye movements and to increase the pointing speed while maintaining high predictive accuracy is proposed. First, a predictive method based on ballistic (fast) eye movements (Approach 1) was evaluated in terms of pointing speed and predictive accuracy. In Approach 1, the so-called Midas touch problem (pointing to an unintended target) occurred, particularly when a small number of samples was used to predict a target. Therefore, to overcome the poor predictive accuracy of Approach 1, we developed a new predictive method (Approach 2) using homing (slow) eye movements rather than ballistic (fast) eye movements. Approach 2 overcame the disadvantage (inaccurate prediction) of Approach 1 by shortening the pointing time while maintaining high predictive accuracy.

Original languageEnglish
Article number9340348
Pages (from-to)22688-22697
Number of pages10
JournalIEEE Access
Volume9
DOIs
Publication statusPublished - 2021

Keywords

  • Eye-gaze input
  • Midas touch
  • ballistic eye movement
  • homing eye movement
  • pointing time
  • predictive accuracy
  • target predictive method

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

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