Human Body Tracking for Physiotherapy Virtual Training

Abstract

In this paper, we introduced a system in which it can be used for patients who are prescribed to undergo a physiotherapy treatment. In this personal virtual training system we employ several markers, attached to the various points of the human body. The system provides a physiotherapy session to the user, once the session is repeated by the user, the video image sequence captured by the system is analyzed and results are displayed to the user for further instructions. Our design consists of 3 general stages: detection, tracking, and verification stages. In the detection stage, our aim is to process the first frame of the image sequence for detecting the locations of the markers. In order to reduce the computational complexity of the first stage, the detection was performed in the lower scale of a Gaussian pyramid space representation. The second stage of our system performs tracking of detected markers of the first stage. A prediction algorithm is applied in this stage in order to limit the search along the predicted directions during the search for the markers in subsequent frames. For verification stage, the trajectory of the markers will be compared with the information in the model. Trajectory matching is performed by computing the difference between their smoothed zero-crossing potentials of the captured trajectory and the model.