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Development of Kendo Motion Prediction System for VR Kendo Training System

Topics: Applications: Image Processing and Artificial Vision, Pattern Recognition, Decision Making, Industrial and Real World Applications, Financial Applications, Neural Prostheses and Medical Applications, Neural Based Data Mining and Complex Information Process; Recurrent Neural Networks

Authors: Yuki Saigo 1 ; Sho Yokota 1 ; Akihiro Matsumoto 1 ; Daisuke Chugo 2 ; Satoshi Muramatsu 3 and Hiroshi Hashimoto 4

Affiliations: 1 Dept. of Mechanical Engineering, Toyo University, Saitama, Japan ; 2 School of Engineering, Kwansei Gakuin University, Sanda, Japan ; 3 Dept. of Applied Computer Eng., Tokai University, Hiratsuka, Japan ; 4 Adv. Institute of Industrial Tech., Shinagawa, Japan

Keyword(s): Sports Training, Machine Learning, Human Motion Prediction, Recurrent Neural Network.

Abstract: In this study, we developed and evaluated a system within the system to predict the user’s Kendo (Japanese fencing) motions which is the function of the VR Kendo system that enables easy Kendo training at home or in similar settings. We utilized markerless motion capture and machine learning based on recurrent neural networks (RNN) to learn and predict kendo motions. As a result, the proposed system successfully predicted Kendo motions as it started with high accuracy.

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Paper citation in several formats:
Saigo, Y.; Yokota, S.; Matsumoto, A.; Chugo, D.; Muramatsu, S. and Hashimoto, H. (2023). Development of Kendo Motion Prediction System for VR Kendo Training System. In Proceedings of the 15th International Joint Conference on Computational Intelligence - NCTA; ISBN 978-989-758-674-3; ISSN 2184-3236, SciTePress, pages 532-539. DOI: 10.5220/0012233000003595

@conference{ncta23,
author={Yuki Saigo. and Sho Yokota. and Akihiro Matsumoto. and Daisuke Chugo. and Satoshi Muramatsu. and Hiroshi Hashimoto.},
title={Development of Kendo Motion Prediction System for VR Kendo Training System},
booktitle={Proceedings of the 15th International Joint Conference on Computational Intelligence - NCTA},
year={2023},
pages={532-539},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012233000003595},
isbn={978-989-758-674-3},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computational Intelligence - NCTA
TI - Development of Kendo Motion Prediction System for VR Kendo Training System
SN - 978-989-758-674-3
IS - 2184-3236
AU - Saigo, Y.
AU - Yokota, S.
AU - Matsumoto, A.
AU - Chugo, D.
AU - Muramatsu, S.
AU - Hashimoto, H.
PY - 2023
SP - 532
EP - 539
DO - 10.5220/0012233000003595
PB - SciTePress

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