TY - GEN
T1 - Dynamic attack motion prediction for kendo agent
AU - Tanaka, Yasufumi
AU - Kosuge, Kazuhiro
PY - 2014/10/31
Y1 - 2014/10/31
N2 - A motion prediction method using Gaussian Mixture Models (GMM) is applied to a kendo agent (Kendo is a traditional Japanese martial art). Human player motion is measured by a motion capture system, using markers attached to each of the player's joints. Measurement information is converted to a state vector with Euler angles to indicate orientation of the sword and orientation of each part of the player's body. To model the motion as a nonlinear dynamical system, GMMs are generated from a demonstration set when an opponent is attacked. The efficiency of the proposed method is experimentally verified.
AB - A motion prediction method using Gaussian Mixture Models (GMM) is applied to a kendo agent (Kendo is a traditional Japanese martial art). Human player motion is measured by a motion capture system, using markers attached to each of the player's joints. Measurement information is converted to a state vector with Euler angles to indicate orientation of the sword and orientation of each part of the player's body. To model the motion as a nonlinear dynamical system, GMMs are generated from a demonstration set when an opponent is attacked. The efficiency of the proposed method is experimentally verified.
UR - http://www.scopus.com/inward/record.url?scp=84911485911&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84911485911&partnerID=8YFLogxK
U2 - 10.1109/IROS.2014.6942857
DO - 10.1109/IROS.2014.6942857
M3 - Conference contribution
AN - SCOPUS:84911485911
T3 - IEEE International Conference on Intelligent Robots and Systems
SP - 2187
EP - 2193
BT - IROS 2014 Conference Digest - IEEE/RSJ International Conference on Intelligent Robots and Systems
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2014
Y2 - 14 September 2014 through 18 September 2014
ER -