Development of Kendo Motion Prediction System for VR Kendo Training System

Yuki Saigo, Sho Yokota, Akihiro Matsumoto, Daisuke Chugo, Satoshi Muramatsu, Hiroshi Hashimoto

2023

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.

Paper Citation

in Harvard Style

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 - Volume 1: NCTA; ISBN 978-989-758-674-3, SciTePress, pages 532-539. DOI: 10.5220/0012233000003595

in Bibtex Style

@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 - Volume 1: NCTA},
year={2023},
pages={532-539},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012233000003595},
isbn={978-989-758-674-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computational Intelligence - Volume 1: NCTA
TI - Development of Kendo Motion Prediction System for VR Kendo Training System
SN - 978-989-758-674-3
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