TTSWING: a Dataset for Table Tennis Swing Analysis

TL;DR

TTSWING is a new dataset with sensor data and player demographics for analyzing table tennis swings, enabling advanced research and machine learning applications in sports analytics.

Contribution

The paper introduces TTSWING, a comprehensive dataset with sensor and demographic data for table tennis swing analysis, and demonstrates its potential through pilot machine learning studies.

Findings

Dataset enables diverse swing analysis research

Pilot models show promising results in swing classification

Resource available for the scientific community

Abstract

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.