Automated Detection of Change of Direction in Basketball Players Using Xsens Motion Tracking.

ABSTRACT: In sports science, accurate tracking of athletes' movement patterns is essential for performance analysis and injury prevention. Changes of direction (COD), frequently executed during basketball games at cutting angles of around 135° (internal angle of 45°), are essential for agility and high-level performance. Moreover, mastering effective COD mechanics is associated with a lower risk of injuries and enhanced long-term athletic success. However, manual segmentation of data from wearable sensors is labor-intensive and time-consuming, often creating bottlenecks for sports practitioners. The aim of this study was to evaluate the feasibility and accuracy of an automated algorithm for detecting COD movements in basketball and to compare its performance with manual detection methods. Data were

SUBMITTER: Pinelli S 

PROVIDER: S-EPMC11820490 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature