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
出版年:2013
页码:929-932
DOI:10.1109/ISCAS.2013.6572000
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.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84883409352&doi=10.1109%2fISCAS.2013.6572000&partnerID=40&md5=c90919e8a9eb9d8126a703be3c079a64
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