ILOS Visual Gait Analysis

A data collection application with sensor location tagging

The Visual Gait Analysis application is used to collect accelerometer, magnetic field, and gyroscope data, and tag the data with it's respective location. It does so using the OpenCV libraries to count steps and track user position along a given path. This allows better analysis of the human walking cycle and the relation between sensor readings and foot position during walking.

Developed by Mitchell Cooke of McMaster University's Department of Computing and Software for Dr. Rong Zheng.