Predicting Biomechanical Risk Factors for Division - I Women's Basketball Athletes

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Aayushi Shah, Vanaja Agarwal, Dhairya Shah, Harman Jani, Srishti U. Sharma, Tolga Kaya, Christopher Taber, Mehul S. Raval

Published: 2025, Last Modified: 12 Nov 2025ICASSP 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Collegiate basketball is characterized by high-impact movements such as jump landings, making athletes more susceptible to injuries. Critical biomechanical factors like knee flexion, lateral trunk flexion, and foot landing asymmetry are strongly associated with injury risk. This study aims to predict six biomechanical risk factors in the landing error scoring system (LESS). The dataset comprises 8600 video frames of counter-movement jumps (CMJs) from 17 NCAA Division I female basketball athletes, recorded from frontal and lateral perspectives and annotated using a customized error annotation algorithm. The study uses the You Only Look Once (YOLOv5nu) model to analyze the basketball athletes’ CMJ videos. It demonstrates high reliability in predicting risk factors with an average Box Precision (Box P) of 0.800, recall (R) of 0.877, and mean Average Precision at IoU threshold 0.5 (mAP@0.5) of 0.879.