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Stabilization of kinematic variables in the control of bimanual pointing movements
University of Gävle, Belastningsskadecentrum.
University of Gävle, Belastningsskadecentrum.
University of Gävle, Belastningsskadecentrum.
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2001 (English)In: Proceedings of the International joint conference on neural networks, 2001, p. 1256-1260Conference paper, Published paper (Refereed)
Abstract [en]

Human voluntary movements face a problem of kinematic redundancy: The number of degrees of freedom for the peripheral mechanical apparatus (e.g., a Iimb) is higher than the number of variables necessary to describe movement execution. Thus, there is an infinity of different ways to execute a given motor task. The recently developed Uncontrolled Manifold (UCM) hypothesis suggests that the central nervous system (CNS) generates solutions such that important task related variables are selectively stabilized. Each motor task is associated with stabilizing a .time series of a task variable. At each instant, the CNS selects, in the state space af elements participating in the task, a manifold (UCM) corresponding to a fixed value of the selected task variable. We study a planar bìmanual task, when one hand moves a target and the other hand moves a pointer that must reach the target. We hypothesized that the stabilized task variable was the vectorial difference of the pointertip and the target. The 6 dimensional state space was defined bys 'joint configuration vectors" whose elements were intersegmental joint angles (shoulder, elbow and wrisst in both arms). The subjects repeated the movements IS times, and the movements were recorded by a movement analysis system. Then, the subjects practiced the movements (300 trials). After practice IS trials were recorded again. We computed the variance of the joint configurations before and after practice. Six joint rotations affected the 2 dimensional task variable. The UCM corresponding to this variable is 4- dimensional, while the subspace of the state space that is orthogonal (ORT) to the UCM is 2-dimensional. The variance within the UCM was larger than in the ORT conforming to the UCM hyphothesis. After practice the joint variance decreased and the drop in the component of variance that did not affect the task vaeriable was larger thnn the drop 'of the other component. Thus, practice lead to more stable time courses of the task variable and of the corresponding joint configuration.

Place, publisher, year, edition, pages
2001. p. 1256-1260
Identifiers
URN: urn:nbn:se:hig:diva-7943ISBN: 0-7803 -7044-9 (print)OAI: oai:DiVA.org:hig-7943DiVA, id: diva2:364249
Conference
International Joint Conference on Neural Networks, Washington, DC, July 15-19, 2001
Available from: 2010-11-09 Created: 2010-11-09 Last updated: 2018-03-13Bibliographically approved

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Domkin, Dmitry

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CiteExportLink to record
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Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
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  • Other style
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  • sv-SE
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