Comparison of Parameters of Regression Equations for Estimating the Perceptual Quantity of Pseudo-Haptics
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- Matsui Kazuhiro
- Graduate School of Engineering Science, Osaka University
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- Kikuchi Iori
- Graduate School of Engineering Science, Osaka University
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- Okada Kotaro
- Graduate School of Engineering Science, Osaka University
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- Atsuumi Keita
- Graduate School of Engineering Science, Osaka University Graduate School of Information Sciences, Hiroshima City University
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- Taniguchi Kazuhiro
- Graduate School of Engineering Science, Osaka University Faculty of Human Ecology, Yasuda Women’s University
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- Hirai Hiroaki
- Graduate School of Engineering Science, Osaka University
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- Nishikawa Atsushi
- Graduate School of Engineering Science, Osaka University
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説明
<p>Pseudo-haptics convey force haptics without the use of complex mechanical devices and are being actively researched. However, a regression equation derivation method for estimating the perception produced by pseudo-haptics is yet to be established. In this study, we compared the model parameters (factors) for weightlifting movements, aiming to establish a method for deriving a regression equation to estimate the perception produced by pseudo-haptics. Weight perception produced by pseudo-haptics was determined by changing the control-display (CD) ratio, which is the amount of object movement in virtual reality (display) divided by the amount of object movement in reality (control). The regression equation estimating the perceived weight was derived using factors such as grasping force and electromyogram. The factors used in the derivation were determined based on quality engineering methods, and it was found that factors appropriate for human motor control strategies could be selected. In addition, the investigation provides insights for the realization of applications that can generate continuous pseudo-haptics.</p>
収録刊行物
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- Journal of Robotics and Mechatronics
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Journal of Robotics and Mechatronics 36 (4), 823-835, 2024-08-20
富士技術出版株式会社
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詳細情報 詳細情報について
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- CRID
- 1390582706068346624
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- NII書誌ID
- AA10809998
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- ISSN
- 18838049
- 09153942
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- NDL書誌ID
- 033645931
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- NDLサーチ
- Crossref
- OpenAIRE
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- 抄録ライセンスフラグ
- 使用不可