Motor training in the manipulation of flexible objects in haptic environments.
Identifieur interne : 001802 ( PubMed/Corpus ); précédent : 001801; suivant : 001803Motor training in the manipulation of flexible objects in haptic environments.
Auteurs : I. Goncharenko ; M. Svinin ; Y. Kanou ; S. HosoeSource :
- Cyberpsychology & behavior : the impact of the Internet, multimedia and virtual reality on behavior and society [ 1094-9313 ] ; 2006.
English descriptors
- KwdEn :
- MESH :
- physiology : Learning, Motor Skills, Touch.
- Adult, Algorithms, Computer Simulation, Equipment Design, Humans, Models, Theoretical, User-Computer Interface.
Abstract
A system with interchangeable constraints for studying skillful human movements via haptic displays is presented. It is shown how this system can be applied to the analysis of reaching movements in the manipulation of flexible objects. In the experiment, progress in arm motor training is considered for several subjects. Experimental data are obtained for slow, moderate, and fast movements. Future applications of the system and its limitations are discussed.
DOI: 10.1089/cpb.2006.9.171
PubMed: 16640473
Links to Exploration step
pubmed:16640473Le document en format XML
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<front><div type="abstract" xml:lang="en">A system with interchangeable constraints for studying skillful human movements via haptic displays is presented. It is shown how this system can be applied to the analysis of reaching movements in the manipulation of flexible objects. In the experiment, progress in arm motor training is considered for several subjects. Experimental data are obtained for slow, moderate, and fast movements. Future applications of the system and its limitations are discussed.</div>
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<Abstract><AbstractText>A system with interchangeable constraints for studying skillful human movements via haptic displays is presented. It is shown how this system can be applied to the analysis of reaching movements in the manipulation of flexible objects. In the experiment, progress in arm motor training is considered for several subjects. Experimental data are obtained for slow, moderate, and fast movements. Future applications of the system and its limitations are discussed.</AbstractText>
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