We introduce TTSWING, a novel dataset designed for table tennis swing analysis. This dataset comprises comprehensive swing information obtained through 9-axis sensors integrated into custom-made racket grips, accompanied by anonymized demographic data of the players. We detail the data collection and annotation procedures. Furthermore, we conduct pilot studies utilizing diverse machine learning models for swing analysis. TTSWING holds tremendous potential to facilitate innovative research in table tennis analysis and is a valuable resource for the scientific community. We release the dataset and experimental codes at https://github.com/DEPhantom/TTSWING.
@article{arxiv.2306.17550,
title = {TTSWING: a Dataset for Table Tennis Swing Analysis},
author = {Che-Yu Chou and Zheng-Hao Chen and Yung-Hoh Sheu and Hung-Hsuan Chen and Sheng K. Wu},
journal= {arXiv preprint arXiv:2306.17550},
year = {2023}
}