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Tennis shot side-view and top-view data set for player analysis in Tennist.
Lai, Kalin Guanlun; Huang, Hsu-Chun; Lin, Wei-Ting; Lin, Shang-Yi; Lin, Kawuu Weicheng.
Afiliação
  • Lai KG; Department of Computer Science & Information Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan.
  • Huang HC; Department of Mechanical Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan.
  • Lin WT; Physical Education Office, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan.
  • Lin SY; Department of Computer Science & Information Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan.
  • Lin KW; Department of Computer Science & Information Engineering, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan.
Data Brief ; 54: 110438, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38708306
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.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article