<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/c83783257270400a99e647fbe37bfdcd&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/c83783257270400a99e647fbe37bfdcd-7b449fbb65a2e587.gif</thumbnail_url><duration>156.929</duration><title>Overhead Squat Assessment for Athlete Weaknesses</title><description>This Loom demonstrates an end-to-end athlete assessment app using in-kinematics and computer vision through an overhead squat evaluation. The team uploads a front-facing squatting video into an OpenPipe workflow to analyze specific movement issues and compare the results to expected mathematical variances. The demo identifies problems including lateral hip and glute medius weakness, tight ankles, new variance with heel rise, and excessive sinking weight, attributing them to poor glute strength, general ab weakness, and limited ankle mobility. The tool also visualizes these weaknesses and supports focusing on fundamentals to address them using a three-day plan.</description></oembed>