Abstract
This project aims to apply machine learning models and computer vision techniques to estimate functional assessments made by specialists for patients with Anterior Cruciate Ligament (ACL) injuries, using kinematic data obtained from markerless tracking during the Multiplanar Unipodal Plyometric (CUBE) test. Three GoPro Hero 10 cameras will capture movements in multiple planes, and the Med…