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...

Descripción completa

Detalles Bibliográficos

Publicado en:	Sports Biomechanics Vol. 24; no. 12; pp. 3522 - 3542
Autores principales:	Hwang, Ui-Jae, Jung, Sung-Hoon, Ji, Ho-Chul, Choi, Sil-Ah, Bang, In-Ju
Formato:	algorithm pictorial research tables/charts Journal Article
Publicado:	Taylor & Francis Ltd Dec2025
Acceso en línea:	Ver este registro en EBSCOhost