Explainable quality assessment of effective aligned skeletal representations for martial arts movements by multi-machine learning decisions.

ABSTRACT: How to utilize modern technological means to provide both accurate scoring and objective feedback for martial arts movements has become an issue that needs to be addressed in the field of physical education. This study proposes an intelligent scoring method based on machine learning. Firstly, the key features are extracted by the feature alignment technique, which eliminates the influence of athletes' movement speed, rhythm and duration on the scoring, thus reflecting the athletes' skill level more realistically. Second, to further improve the objectivity and accuracy, an adaptive weighted multi-model decision-making strategy is proposed. In addition, this study is the first to use interpretable artificial intelligence to provide feedback for teaching and learning Wushu. Experimental resul

SUBMITTER: Pang Y 

PROVIDER: S-EPMC11697023 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature