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Please use this identifier to cite or link to this item:
https://hdl.handle.net/10119/18392
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| Title: | Learning Support and Evaluation of Weight-shifting Skills for Novice Skiers Using Virtual Reality |
| Authors: | Ono, Shigeharu
Kanai, Hideaki
Atsumi, Ryosuke
Koike, Hideki
Nishimoto, Kazushi |
| Keywords: | Ski
Learning support
Virtual reality
Visual feedback
Deep learning |
| Issue Date: | 2022-06-16 |
| Publisher: | Springer Nature |
| Magazine name: | Lecture Notes in Computer Science |
| Volume: | 13332 |
| Start page: | 226 |
| End page: | 237 |
| DOI: | 10.1007/978-3-031-05887-5_16 |
| Abstract: | In this study, we propose a virtual reality learning support system designed to help train novice skiers. In previous research, we extracted the differences between the weight shifting movements and skiing postures of experts and beginners using deep learning. The obtained results showed weight shifting to be a more important feature than posture. Accordingly, we focused on supporting the weight-shifting technique. The support system provides real-time feedback to a user on their current weight-shifting status. We conducted an experiment to verify the effectiveness of the proposed approach, in which we defined evaluation criteria for a user’s level of skiing proficiency. The experimental results demonstrate that the system successfully facilitated participants’ acquisition of the weight-shifting skill. |
| Rights: | Copyright Springer Nature Switzerland AG 2022. Shigeharu Ono, Hideaki Kanai, Ryosuke Atsumi, Hideki Koike, Kazushi Nishimoto, Lecture Notes in Computer Science, vol 13332. Springer, Cham., 2022. The final publication is available at Springer via https://doi.org/10.1007/978-3-031-05887-5_16 |
| URI: | https://hdl.handle.net/10119/18392 |
| Material Type: | author |
| Appears in Collections: | a11-1. 会議発表論文 (Conference Papers)
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| K-NISHIMOTO-K-3.pdf | | 2547Kb | Adobe PDF | View/Open |
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