Literature DB >> 8274547

Kinematic description of variability of fast movements: analytical and experimental approaches.

S R Gutman1, M L Latash, G L Almeida, G L Gottlieb.   

Abstract

Analysis of variability of fast aimed movements predicts the properties of trajectory variance. The analysis is based on a kinematic model with nonlinear changes in "internal time". The purpose of the work was to identify different sources of variability and their influence on the trajectory variance. An analytical expression for the speed-accuracy trade-off is introduced. Experiments were performed with subjects making single-joint elbow flexion movements over different distances as fast as possible with their eyes closed to memorized targets. Standard deviation of movement trajectory increased during the first part of the movement and subsequently decreased. The variance peaked after the time of peak velocity, close to the time of peak deceleration. A dependence of the trajectory variance on movement distance (speed-accuracy trade-off) was seen during the movement (at times of peak velocity and peak deceleration) but not after the movement termination. We conclude that the previously reported drop in the variability of movement trajectory during the deceleration phase does not necessarily mean a compensation by the control system but may result from purely kinematic properties of the movement. The importance of the time of measurement for analysis of the speed-accuracy trade-offs is emphasized.

Mesh:

Year:  1993        PMID: 8274547

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  23 in total

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  14 in total

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Authors:  K Hase; M Sako; J Ushiba; N Chino
Journal:  Exp Brain Res       Date:  2004-03-13       Impact factor: 1.972

3.  Learning a throwing task is associated with differential changes in the use of motor abundance.

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Journal:  Exp Brain Res       Date:  2006-05-24       Impact factor: 1.972

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Authors:  Marcos Duarte; Mark L Latash
Journal:  Exp Brain Res       Date:  2007-02-02       Impact factor: 1.972

7.  Motor performance benefits of matched limb imitation in prosthesis users.

Authors:  William F Cusack; Rebecca Patterson; Scott Thach; Robert S Kistenberg; Lewis A Wheaton
Journal:  Exp Brain Res       Date:  2014-03-19       Impact factor: 1.972

8.  Variance components in discrete force production tasks.

Authors:  S K M Varadhan; Vladimir M Zatsiorsky; Mark L Latash
Journal:  Exp Brain Res       Date:  2010-08-03       Impact factor: 1.972

9.  A feedback information-theoretic transmission scheme (FITTS) for modeling trajectory variability in aimed movements.

Authors:  Julien Gori; Olivier Rioul
Journal:  Biol Cybern       Date:  2020-12-08       Impact factor: 2.086

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Authors:  S R Goodman; G L Gottlieb
Journal:  Biol Cybern       Date:  1995-09       Impact factor: 2.086

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