Literature DB >> 22996050

Naturalistic arm movements during obstacle avoidance in 3D and the identification of movement primitives.

Britta Grimme1, John Lipinski, Gregor Schöner.   

Abstract

By studying human movement in the laboratory, a number of regularities and invariants such as planarity and the principle of isochrony have been discovered. The theoretical idea has gained traction that movement may be generated from a limited set of movement primitives that would encode these invariants. In this study, we ask if invariants and movement primitives capture naturalistic human movement. Participants moved objects to target locations while avoiding obstacles using unconstrained arm movements in three dimensions. Two experiments manipulated the spatial layout of targets, obstacles, and the locations in the transport movement where an obstacle was encountered. We found that all movement trajectories were planar, with the inclination of the movement plane reflecting the obstacle constraint. The timing of the movement was consistent with both global isochrony (same movement time for variable path lengths) and local isochrony (same movement time for two components of the obstacle avoidance movement). The identified movement primitives of transport (movement from start to target position) and lift (movement perpendicular to transport within the movement plane) varied independently with obstacle conditions. Their scaling accounted for the observed double peak structure of movement speed. Overall, the observed naturalistic movement was astoundingly regular. Its decomposition into primitives suggests simple mechanisms for movement generation.

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Year:  2012        PMID: 22996050     DOI: 10.1007/s00221-012-3205-6

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  29 in total

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2.  Control of fast-reaching movements by muscle synergy combinations.

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3.  Space-time separation during obstacle-avoidance learning in monkeys.

Authors:  Elizabeth Torres; Richard Andersen
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Review 4.  Computations underlying the execution of movement: a biological perspective.

Authors:  E Bizzi; F A Mussa-Ivaldi; S Giszter
Journal:  Science       Date:  1991-07-19       Impact factor: 47.728

5.  Arm trajectory modifications during reaching towards visual targets.

Authors:  T Flash; E Henis
Journal:  J Cogn Neurosci       Date:  1991       Impact factor: 3.225

6.  Segmentation of endpoint trajectories does not imply segmented control.

Authors:  D Sternad; S Schaal
Journal:  Exp Brain Res       Date:  1999-01       Impact factor: 1.972

7.  Reach-to-grasp movements during obstacle avoidance.

Authors:  M Saling; J Alberts; G E Stelmach; J R Bloedel
Journal:  Exp Brain Res       Date:  1998-01       Impact factor: 1.972

8.  Control of human arm movements in two dimensions: paths and joint control in avoiding simple linear obstacles.

Authors:  J Dean; M Brüwer
Journal:  Exp Brain Res       Date:  1994       Impact factor: 1.972

9.  The coordination of arm movements: an experimentally confirmed mathematical model.

Authors:  T Flash; N Hogan
Journal:  J Neurosci       Date:  1985-07       Impact factor: 6.167

10.  Missing in action: the effect of obstacle position and size on avoidance while reaching.

Authors:  Craig S Chapman; Melvyn A Goodale
Journal:  Exp Brain Res       Date:  2008-08-21       Impact factor: 1.972

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  2 in total

1.  Torque response to external perturbation during unconstrained goal-directed arm movements.

Authors:  Lei Zhang; Andreas Straube; Thomas Eggert
Journal:  Exp Brain Res       Date:  2014-01-31       Impact factor: 1.972

2.  Separating Timing, Movement Conditions and Individual Differences in the Analysis of Human Movement.

Authors:  Lars Lau Raket; Britta Grimme; Gregor Schöner; Christian Igel; Bo Markussen
Journal:  PLoS Comput Biol       Date:  2016-09-22       Impact factor: 4.475

  2 in total

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