Modeling and motor learning of reaching movements in virtual environments

Mikhail Mikhailovich Svinin, I. Goncharenko, S. Hosoe, Y. Kanou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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 solulions for these models for the dynamic environmenl 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 hit with the experimental data while the prediction by the minimum hand jerk criterion matches the experimental patterns with reasonable accuracy.

Original languageEnglish
Title of host publication2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007
Pages1277-1284
Number of pages8
DOIs
Publication statusPublished - Dec 1 2007
Event2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007 - Beijing, China
Duration: May 23 2007May 27 2007

Other

Other2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007
CountryChina
CityBeijing
Period5/23/075/27/07

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All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Medicine(all)

Cite this

Svinin, M. M., Goncharenko, I., Hosoe, S., & Kanou, Y. (2007). Modeling and motor learning of reaching movements in virtual environments. In 2007 IEEE/ICME International Conference on Complex Medical Engineering, CME 2007 (pp. 1277-1284). [4381949] https://doi.org/10.1109/ICCME.2007.4381949