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Related Experiment Video

Updated: May 25, 2025

Comparison of Kinetic Characteristics of Footwork during Stroke in Table Tennis: Cross-Step and Chasse Step
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TTSwing: a Dataset for Table Tennis Swing and Racket Kinematics Analysis.

Che-Yu Chou1, Zheng-Hao Chen1, Yung-Hoh Sheu2

  • 1Department of Computer Science and Information Engineering, National Central University, Taoyuan, 320317, Taiwan.

Scientific Data
|February 26, 2025
PubMed
Summary
This summary is machine-generated.

We introduce TTSwing, a novel dataset for analyzing table tennis swings using motion sensor data from elite players. This resource aids in performance analysis and developing targeted training programs.

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Area of Science:

  • Sports Science
  • Biomechanics
  • Data Science

Background:

  • Analyzing table tennis swings is crucial for performance enhancement.
  • Existing datasets lack detailed kinematic data for elite players.

Purpose of the Study:

  • Introduce TTSwing, a novel dataset for table tennis swing analysis.
  • Provide precise kinematic and demographic data for elite athletes.

Main Methods:

  • Collected data using custom racket grips with 9-axis motion sensors.
  • Gathered data from 93 elite table tennis players in Taiwan.
  • Detailed data collection and annotation procedures.

Main Results:

  • Generated a comprehensive dataset of table tennis swings.
  • Included precise kinematic data and anonymized player demographics.
  • Ensured data quality through detailed collection and annotation.

Conclusions:

  • TTSwing dataset offers valuable insights into player performance.
  • Facilitates development of tailored training programs and biomechanical analyses.
  • A valuable, reproducible resource for the scientific community.