Motion capture and reconstruction based on depth information using Kinect
Ming Zeng, Zhengcun Liu, Qinghao Meng, Zhengbiao Bai, Haiyan Jia · 2012
In this paper, a novel technique which provides visual feedback to the trainee in a 3D virtual environment is proposed. This method contains two steps. Firstly, the real-time depth data for the 3D human motions are captured using Kinect (a latest depth sensor launched by Microsoft) and then those depth dada are converted into key-node data of human skeletons. Next, 3D human body movements are reconstructed by combining these key-node data and personalized virtual models of human body created by the open source software of “MakeHuman”. The experimental results show that the proposed algorithm can obtain a fairly accurate estimation of the real-time 3D human body movements.