動作特徴の解析と可視化による動作フォーム練習システムの開発（尾下研究室）

動作特徴の解析と可視化による動作フォーム練習システムの開発

This paper describes a prototype self-training system for tennis forehand shots that allows trainees to practice their motion forms by themselves. Our system uses a motion capture device to record a trainee's motion, and visualizes the differences between the features of the trainee's motion and the correct motion as performed by an expert. This system enables trainees to understand the errors in their motion and how to reduce or eliminate them. In this study, we classified the motion features and corresponding visualization methods using one-dimensional spatial, rotational, and temporal features based on the key sporting poses. We also developed a statistical model for the motion features, allowing the system to assess and prioritize all features of a trainee's motion. This research focuses on the motion of a tennis forehand shot and evaluates our prototype through several user experiments.

共同研究者

向井智彦, 首都大学東京
栗山繁, 豊橋技術科学大学

発表文献

Masaki Oshita, Takumi Inao, Shunsuke Ineno, Tomohiko Mukai, Shigeru Kuriyama, "Development and Evaluation of a Self-Training System for Tennis Shots with Motion Feature Assessment and Visualization", The Visual Computer, 13 pages, Springer, May 2019. [Journal]

Masaki Oshita, Takumi Inao, Tomohiko Mukai, Shigeru Kuriyama, "Self-Training System for Tennis Shots with Motion Feature Assessment and Visualization", International Conference on Cyberworlds 2018, pp. 82-89, Singapore, October 2018. [PDF] [Video]

稲尾拓海，尾下真樹，向井智彦，栗山繁 "モーションキャプチャを用いたスポーツフォーム練習のための特徴量・可視化手法の検討", 情報処理学会研究報告コンピュータグラフィックスとビジュアル情報学第165回, 7 pages, 東京, 2016年11月.

稲尾拓海，尾下真樹，向井智彦，栗山繁 "モーションキャプチャを用いたスポーツフォーム練習のための特徴量・可視化手法の検討", ビジュアルコンピューティングワークショップ in 中城城跡（沖縄） 2016, 沖縄, 2016年10月.

Takumi Inao, Masaki Oshita, Tomohiko Mukai, Shigeru Kuriyama, "Visualization of Motion Features for Sports Training System Using Kinect", 14th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry (VRCAI 2015), Posters and Demos, 2 pages, Kobe, Japan, November 2015.

謝辞
本研究の一部は、日本学術振興会科学研究費補助金 (No. 15H02704) の助成を受けたものである。