Motion Causal Network Analysis for Quantitative Evaluation of Baseball Form by Video Analysis

Takeshi Tanaka, Norio Gouda

2024

Abstract

In professional sports, IT technology has been introduced to strengthen players, and in the baseball industry, where there is a large number of athletes, data analysis is expected to improve training efficiency, even for amateurs. However, the use of IT has not been widespread in the past due to the need for special equipment for measurement and the difficulty of interpreting data. In this study, we proposed a technique for quantifying the interlocking nature of players' forms using the transfer entropy from time-series data of players' skeletal coordinates obtained by image recognition to intuitively visualize the characteristics of players' forms using only video. As a result of evaluating players' hitting form using the proposed technique, we confirmed that the transfer entropy significantly changed in the target region when players were conscious of improvement, and we obtained a prospect for the practical application of form analysis using video.

Paper Citation

in Harvard Style

Tanaka T. and Gouda N. (2024). Motion Causal Network Analysis for Quantitative Evaluation of Baseball Form by Video Analysis. In Proceedings of the 12th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS; ISBN 978-989-758-719-1, SciTePress, pages 185-192. DOI: 10.5220/0012949500003828

in Bibtex Style

@conference{icsports24,
author={Takeshi Tanaka and Norio Gouda},
title={Motion Causal Network Analysis for Quantitative Evaluation of Baseball Form by Video Analysis},
booktitle={Proceedings of the 12th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS},
year={2024},
pages={185-192},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012949500003828},
isbn={978-989-758-719-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 12th International Conference on Sport Sciences Research and Technology Support - Volume 1: icSPORTS
TI - Motion Causal Network Analysis for Quantitative Evaluation of Baseball Form by Video Analysis
SN - 978-989-758-719-1
AU - Tanaka T.
AU - Gouda N.
PY - 2024
SP - 185
EP - 192
DO - 10.5220/0012949500003828
PB - SciTePress