标题：Data-driven human motion synthesis based on angular momentum analysis
作者：Hu, Ping ;Sun, Qi ;Meng, Xiangxu ;Peng, Jingliang
作者机构：[Hu, Ping ;Sun, Qi ;Meng, Xiangxu ;Peng, Jingliang ] School of Computer Science and Technology, Shandong University, China
会议名称：2013 IEEE International Symposium on Circuits and Systems, ISCAS 2013
会议日期：19 May 2013 through 23 May 2013
来源：Proceedings - IEEE International Symposium on Circuits and Systems
摘要：In this paper, we present a novel method for realtime synthesis of human motion under external perturbations. The proposed method is data-driven and based on angular momentum analysis. When an external force is applied on the virtual human body, we analyze the change in the joints' angular momentums in a short period of time, predict the human body response, find an appropriate motion sequence from the pre-built motion capture (MoCap) database, and make a smooth transition between the current and the retrieved motion sequences to obtain the synthesized motion. The most important contributions of our method include that we propose a complete momentum analysis solution for the human body and that we make effective MoCap data organization based on the major characteristics of the body motion and the external force. As a result, realistic and real-time human motion synthesis is achieved, as experimentally demonstrated with the walking, the running and the jumping sequences. © 2013 IEEE.