Tennis shot side-view and top-view data set for player analysis in Tennist.

Kalin Guanlun Lai, Hsu-Chun Huang, Wei-Ting Lin, Shang-Yi Lin, Kawuu Weicheng Lin

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Article in Data in brief, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 authors.

Kalin Guanlun LaiDepartment of Computer Science & Information Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan.

Hsu-Chun HuangDepartment of Mechanical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan.

Wei-Ting LinPhysical Education Office, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan.

Shang-Yi LinDepartment of Computer Science & Information Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan.

Kawuu Weicheng LinDepartment of Computer Science & Information Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tennis is a popular sport, and the introduction of technology has allowed players to diversify their training. Tennis ball tracking is currently a focal point, serving not only to assist referees but also to enhance sports analysis. We introduce the Tennis Shot Side-View and Top-View Dataset, which serves as an invaluable resource for analyzing tennis movements and verifying landing positions after flight. This dataset combines side-view and top-view video clips, capturing various shot types and player movements from both outdoor and indoor fields. The dataset includes the actual ball positions of each clip for verification purposes. The Tennis Shot Side-View and Top-View Dataset represents a significant advancement in tennis research. Its multidimensional nature opens doors for in-depth player analysis, performance enhancement, and strategy development. We believe that this dataset will be a valuable asset to the tennis community, fostering innovation and excellence in the sport.

Indexed as

Object trackingPhysical simulationSports technologyTennis ball flying

Identifiers

PMID38708306

DOI10.1016/j.dib.2024.110438

PMCPMC11068545

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