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| Basic information |
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| Name |
Sakakihara Michio |
| Belonging department |
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| Occupation name |
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| researchmap researcher code |
1000113838 |
| researchmap agency |
Okayama University of Science |
Analysis of basketball shooting movements using MediaPipe
Hirano, Rirei, Kuwatani Jun, Ishida Yasuo, Sakakihara Michio
Verbal presentations (general)
In basketball, shooting is one of the most important skills directly linked to scoring. Especially when teaching beginners, intuitive verbal instructions from a coach can make it difficult for students to visualize their own body movements, and it takes time to master the ideal form. Traditionally, motion analysis has required expensive motion capture systems and specialized markers, making it difficult to easily implement in school club activities or individual practice environments. In recent years, the development of open-source libraries such as Google's MediaPipe has made it possible to accurately estimate joint positions (landmarks) from monocular camera footage. In previous research, we compared expert and beginner archery movements and confirmed the effectiveness of visualizing trunk stability and joint position fluctuations. In this study, we apply this technology to basketball shooting movements to quantitatively clarify the differences between expert and beginner movements.
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