Machine learning-based classification of Taekwondo Poomsae side kick performance using kinematic parameters and physical characteristics.
To develop and validate machine learning (ML) models for classifying Taekwondo Poomsae side kick (SK) performance using kinematic parameters and physical function characteristics. Forty collegiate Taekwondo Poomsae athletes performed SKs with both legs. Two models were developed: a kinematic model i...
| Publicado en: | Sports Biomechanics Vol. 24; no. 12; pp. 3522 - 3542 |
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| Autores principales: | , , , , |
| Formato: | algorithm pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Dec2025
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| Acceso en línea: | Ver este registro en EBSCOhost |