Machine learning-based classification of ice hockey skating tasks using kinematic data.
This study evaluates the ability of body segment kinematic data to identify skating tasks in ice hockey using machine learning models and compares the performance of models trained on different body segments. We employed XGBoost, Support Vector Machine and Random Forest models to classify four prima...
| Published in: | Sports Biomechanics Vol. 25; no. 5; pp. 659 - 673 |
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| Main Authors: | , , , , , , |
| Format: | research tables/charts Journal Article |
| Published: |
Taylor & Francis Ltd
May2026
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| Online Access: | View this record in EBSCOhost |