Machine Learning of Feature Importance for Biomechanical Efficiency of Baseball Pitching

Biomechanical analyses are used to reveal potential factors for injury and performance improvements in human tasks which are considered in medicine and athletics. In this study, approaches based on machine learning are described to extract feature importance for baseball pitching from motion data. The results show that the proposed models outperform prior studies and suggest new ways for determining the importance of features.