Journal of Innovation in Computer Science and Engineering

New ideas in motion capture and virtual reality applications have been made possible by the recent advancements in motion recognition. Using a pattern recognition algorithm, Microsoft kinect can detect the different body postures of the human body. But due to the single-depth camera, the accuracy of recognition is not significant. This also has a significant effect due to the surrounding environment. The accuracy is still reduced, when the body parts are not recognized correctly. In this paper we propose a method to remove noise and increase the efficiency of the posture recognition. A similar set of postures are synthesized based on the position of the body parts. These values are then learned by a machine to give the posture of the human. This is plied to the frame based optimization to create a new posture which resembles the older one.