Development of a Gait Recognition Visualization System Using Augmented Reality

摘要

The gait rehabilitation is generally done through the traditional way, the diagnostics are only made according to the eye of the person who is doing the treatment for identifying the places where the people feel any kind of pain. This project wants to develop a system that uses augmented reality for visualizing the cinematics of the human gait to help experts to give diagnostics. The Opencv library was used as a tool to implement the augmented reality, providing functions such as the calibration of the camera, the detection and the tracking of the objects that will be the markers located between the joint segments of the legs (hip, knee and ankle), through this, the tracking of the displacement of the person and the angle formed can be visualized. This system, that uses augmented reality, gives support to the diagnostic of the gait through technological tools which will help the experts to get a highest precision for making this kind of analysis.