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Research Article

Analysis of boxing Performances using machine learning algorithm

  • Paper ID 485
  • Volume 3, Issue 3
  • Pages 353-357
  • Published Online: May-June 2022
  • 2 Views
Open Access Peer Reviewed

Authors

  • B.Thamizharasan1
  • G.Nallavan2

1Student, Department of Sports Technology, Tamilnadu Physical Education and Sports University, Chennai, Tamilnadu, India. 2Assistant Professor, Department of Sports Technology, Tamilnadu Physical Education and Sports University, Chennai , Tamilnadu, India.

Article Information

DOI
No DOI
Published Online
May-June 2022
Pages
353-357
Article Type
Research Article
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Abstract

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Abstract: This study focuses on a scientific and experimental way of employing thera band and reflex ball training to improve punching accuracy in amateur boxing, and a revolutionary strategy is modeled. A group of athletes from various categories were chosen to put this idea to the test, with pre- and post-training data recorded and compared to see how Boxer performance, accuracy, and stability changed. Machine learning is a strong data categorization method that has been used to categorize recorded movement data. Furthermore, supervised machine learning models should be built on sparring data to evaluate if high accuracy can be maintained in a competitive context.

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  • ISSN 2582-8746
  • Open Access
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