TTSwing: a Dataset for Table Tennis Swing and Racket Kinematics Analysis.

Che-Yu Chou, Zheng-Hao Chen, Yung-Hoh Sheu, Hung-Hsuan Chen, Min-Te Sun, Sheng K Wu

Abstract readDataset

In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

Fine reconstruction of badminton swing dynamic trajectory assisted by event camera.Scientific reports · 2026
Article

4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Che-Yu Chou *Department of Computer Science and Information Engineering, National Central University, Taoyuan, 320317, Taiwan.

Zheng-Hao Chen *Department of Computer Science and Information Engineering, National Central University, Taoyuan, 320317, Taiwan.

Yung-Hoh SheuDepartment of Computer Science and Information Engineering, National Formosa University, Yunlin, 63200, Taiwan.

Hung-Hsuan ChenDepartment of Computer Science and Information Engineering, National Central University, Taoyuan, 320317, Taiwan. hhchen1105@acm.org.ORCID http://orcid.org/0000-0001-5137-4449

Min-Te SunDepartment of Computer Science and Information Engineering, National Central University, Taoyuan, 320317, Taiwan.

Sheng K WuDepartment of Sport Performance, National Taiwan University of Sport, Taichung, 404401, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We introduce TTSwing, a novel dataset designed to analyze table tennis swings. The dataset was collected using custom racket grips embedded with 9-axis motion sensors, which provide precise kinematic data on swings. In addition, we provide anonymized demographic data for players. The dataset was collected from 93 participants, all of whom are elite table tennis players from Taiwan. We detail the data collection and annotation procedures. These data are expected to improve the understanding of player performance and facilitate the development of tailored training programs and biomechanical analyses, offering practical benefits to both athletes and coaches. TTSwing has excellent potential to facilitate innovative research in table tennis analysis and is a valuable resource for the scientific community. We release the dataset and the experimental codes for reproducibility.

Indexed as

Racquet SportsTennisBiomechanical PhenomenaHumansMaleTaiwan

Identifiers

PMID40011493

DOI10.1038/s41597-025-04680-y

PMCPMC11865293

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LicenceCC BY

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.