LGAIJun 30, 2023

TTSWING: a Dataset for Table Tennis Swing Analysis

arXiv:2306.17550v11 citationsh-index: 4Has Code
Originality Synthesis-oriented
AI Analysis

This provides a new resource for researchers in sports analytics, but it is incremental as it focuses on dataset creation without major methodological breakthroughs.

The authors introduced TTSWING, a dataset for table tennis swing analysis collected using sensor-equipped racket grips, and conducted pilot studies with machine learning models to demonstrate its utility.

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.

Code Implementations1 repo
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