Ulnar collateral ligament (UCL) injuries are increasingly common in baseball pitchers of all levels and often are career ending. The aim of this project was to develop a wearable sensor system to quantify risk of UCL injury in baseball pitchers through correlation with fatigue indicated by deviations in forces and torques in the throwing arm during pitching. The outcome of this project was a wearable sensor and data analysis system which could be applicable to predicting risk of injury
