Modeling and Motor Learning of Reaching Movements in Virtual Environments
The paper presents an analysis of human reaching movements in manipulation of flexible objects. To predict the trajectory of human hand we resort to two models, the lowest polynomial order model for the hand movement and the minimum hand jerk model. First, we derive analytical solutions for these models for the dynamic environment represented by a multi-mass linear flexible object. Then, we present initial experimental results. It is shown that the lowest polynomial order model does not fit with the experimental data while the prediction by the minimum hand jerk criterion matches the experimental patterns with reasonable accuracy.
M. Svinin I. Goncharenko S. Hosoe Y. Kanou
Bio-Mimetic Control Research Center, RIKEN, Anagahora, Shimoshidami, Nagoya, Aichi 463-0003, Japan 3D Incorporated, 1-1 Sakae-cho, Kanagawa-ku, Yokohama, Kanagawa 221-0052, Japan
国际会议
北京
英文
1298-1305
2007-05-23(万方平台首次上网日期,不代表论文的发表时间)