Human motion tracking and gesture prediction based on the RBF neural network
Author(s): Sun Guangmin, Chen Deming, Qin Shengfeng, Wright D. K, Kang Jinsheng, Zhao Yue
Pages: 12-16
Year: 2007 Issue: 1
Journal: CHINESE JOURNAL OF SCIENTIFIC INSTRUMENT
Keyword: artificial neural network; human motion tracking; human body gesture prediction;
Abstract: In this paper, the Radial Basis Function (RBF) neural network is employed to track the human motion and predict the human body gesture. Some tests and comparison experiments have been made to evaluate the performance for the motion tracking and gesture prediction using collected motion data. The experimental results show that the RBF neural network based motion tracking and gesture prediction methods is feasible.
Pages: 12-16
Year: 2007 Issue: 1
Journal: CHINESE JOURNAL OF SCIENTIFIC INSTRUMENT
Keyword: artificial neural network; human motion tracking; human body gesture prediction;
Abstract: In this paper, the Radial Basis Function (RBF) neural network is employed to track the human motion and predict the human body gesture. Some tests and comparison experiments have been made to evaluate the performance for the motion tracking and gesture prediction using collected motion data. The experimental results show that the RBF neural network based motion tracking and gesture prediction methods is feasible.
Related Articles