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ID 61476
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Murata, Atsuo Department of Intelligent Mechanical Systems, Graduate School of Natural Science and Technology, Okayama University Kaken ID publons researchmap
Doi, Toshihisa Department of Intelligent Mechanical Systems, Graduate School of Natural Science and Technology, Okayama University ORCID Kaken ID researchmap
Kageyama, Kazushi Department of Intelligent Mechanical Systems, Graduate School of Natural Science and Technology, Okayama University
Karwowski, Waldemar Engineering and Management Systems, University of Central Florida
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.
Keywords
Eye-gaze input
target predictive method
ballistic eye movement
homing eye movement
pointing time
predictive accuracy
Midas touch
Published Date
2021-01-29
Publication Title
IEEE Access
Volume
volume9
Publisher
Institute of Electrical and Electronics Engineers
Start Page
22688
End Page
22697
ISSN
2169-3536
Content Type
Journal Article
language
English
OAI-PMH Set
岡山大学
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publisher
DOI
Web of Science KeyUT
Related Url
isVersionOf https://doi.org/10.1109/ACCESS.2021.3055514
License
https://creativecommons.org/licenses/by/4.0/