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