Analysis of Runner Biomechanics Using Edge Detection and Image Processing Techniques to Determine Pronation Levels Asa Kusuma

The Problem: Determining Pronation Pronation: Ankle rolling inward on impact Over-pronation major cause of running injuries Hard to determine with the eye, subtle

Pronation and Runners Every runner should pronate a moderate amount Too much pronation  Strains achilies tendon  Puts pressure on Tibia  Strains inner knee Not enough pronation  Supination  Puts pressure on Fibula  Strains IT Band OverpronationSupination

The Setup 2 nd Quarter

Light Ruler 2 nd Camera

Background Tape

How the Setup Works Camera  Takes 20 Frames per second  Produces 2 relevant images Before impact At impact Light  Ensures universal lighting Ruler  To measure distance from runner to camera Horizontal Tape  Keeps runner in the same position relative to the camera Background  Helps with edge detection

Method: Edge Shift Get 2 Images, before and after impact  Edge Detect  Isolate the inner edge of foot/leg  Find average x coordinate of edge Equalize image edges Compare x coordinates of edges

Equalizing images  Equalized  Not equalized

Determining Relative Factors Camera  What’s the resolution of the camera?  What’s the FPS of the image capture Shift Method  How much shifting constitutes over-pronation?

4 th Quarter Plan Create Calibration Program  Collects data from multiple runs on runners of different pronation degrees  Uses data to calibrate relative factors Automatically adjust for camera resolution Implement GUI Further improve edge detection