TY - GEN
T1 - A human motion estimation method based on GP-UKF
AU - Wang, Ziyou
AU - Kinugawa, Jun
AU - Wang, Hongbo
AU - Kosuge, Kazuhiro
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/10/21
Y1 - 2014/10/21
N2 - A novel human motion estimation method is presented in this paper. The motion of the human is estimated by an Unscented Kalman filter (UKF), in which a nonlinear dynamic model is used to predict trajectory of human. This dynamic model is obtained from sample data by using Gaussian Process (GP) regression. The sample data includes information of body segment posture and trajectory data collected by motion capture system. The GP-UKF can extract the underlying dynamics from the sample data, with which the future non-linear transition can be predicted. The experiment results show that the proposed method has improved accuracy over conventional method.
AB - A novel human motion estimation method is presented in this paper. The motion of the human is estimated by an Unscented Kalman filter (UKF), in which a nonlinear dynamic model is used to predict trajectory of human. This dynamic model is obtained from sample data by using Gaussian Process (GP) regression. The sample data includes information of body segment posture and trajectory data collected by motion capture system. The GP-UKF can extract the underlying dynamics from the sample data, with which the future non-linear transition can be predicted. The experiment results show that the proposed method has improved accuracy over conventional method.
KW - GP-UKF
KW - Gaussian Process
KW - Motion estimation
KW - Unscented Kalman filter
UR - http://www.scopus.com/inward/record.url?scp=84914094518&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84914094518&partnerID=8YFLogxK
U2 - 10.1109/ICInfA.2014.6932836
DO - 10.1109/ICInfA.2014.6932836
M3 - Conference contribution
AN - SCOPUS:84914094518
T3 - 2014 IEEE International Conference on Information and Automation, ICIA 2014
SP - 1228
EP - 1232
BT - 2014 IEEE International Conference on Information and Automation, ICIA 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Conference on Information and Automation, ICIA 2014
Y2 - 28 July 2014 through 30 July 2014
ER -