Literature DB >> 11204414

Origins and violations of the 2/3 power law in rhythmic three-dimensional arm movements.

S Schaal1, D Sternad.   

Abstract

The 2/3 power law, the nonlinear relationship between tangential velocity and radius of curvature of the end-effector trajectory, is thought to be a fundamental constraint of the central nervous system in the formation of rhythmic endpoint trajectories. However, studies on the 2/3 power law have been confined largely to planar drawing patterns of relatively small size. With the hypothesis that this strategy overlooks nonlinear effects that are constitutive in movement generation, the present experiments tested the validity of the power law in elliptical patterns that were not confined to a planar surface and which were performed by the unconstrained 7-degrees of freedom (DOF) arm, with significant variations in pattern size and workspace orientation. Data were recorded from five human subjects where the seven joint angles and the endpoint trajectories were analyzed. Additionally, an anthropomorphic 7-DOF robot arm served as a "control subject" whose endpoint trajectories were generated on the basis of the human joint angle data, modeled as simple harmonic oscillations. Analyses of the endpoint trajectories demonstrate that the power law is systematically violated with increasing pattern size, in both exponent and the goodness of fit. The origins of these violations can be explained analytically based on smooth, rhythmic trajectory formation and the kinematic structure of the human arm. We conclude that, in unconstrained rhythmic movements, the power law seems to be a by-product of a movement system that favors smooth trajectories, and that it is unlikely to serve as a primary movement-generating principle. Our data rather suggest that subjects employed smooth oscillatory pattern generators in joint space to realize the required movement patterns.

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Year:  2001        PMID: 11204414     DOI: 10.1007/s002210000505

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


  32 in total

1.  Event identification in movement recordings by means of qualitative patterns.

Authors:  Eric Fimbel; Anne Sophie Dubarry; Maxime Philibert; Anne Beuter
Journal:  Neuroinformatics       Date:  2003

2.  Velocity and curvature in human locomotion along complex curved paths: a comparison with hand movements.

Authors:  H Hicheur; S Vieilledent; M J E Richardson; T Flash; A Berthoz
Journal:  Exp Brain Res       Date:  2004-12-07       Impact factor: 1.972

3.  Planning and drawing complex shapes.

Authors:  Martha Flanders; Leigh A Mrotek; C C A M Gielen
Journal:  Exp Brain Res       Date:  2005-11-25       Impact factor: 1.972

Review 4.  The internal model and the leading joint hypothesis: implications for control of multi-joint movements.

Authors:  Natalia Dounskaia
Journal:  Exp Brain Res       Date:  2005-08-13       Impact factor: 1.972

5.  Intrinsic joint kinematic planning. II: hand-path predictions based on a Listing's plane constraint.

Authors:  D G Liebermann; A Biess; C C A M Gielen; T Flash
Journal:  Exp Brain Res       Date:  2005-12-08       Impact factor: 1.972

6.  Invariant geometric characteristics of spatial arm motion.

Authors:  Satyajit Ambike; James P Schmiedeler
Journal:  Exp Brain Res       Date:  2013-06-15       Impact factor: 1.972

7.  Spectrum of power laws for curved hand movements.

Authors:  Dongsung Huh; Terrence J Sejnowski
Journal:  Proc Natl Acad Sci U S A       Date:  2015-07-06       Impact factor: 11.205

8.  Movement smoothness changes during stroke recovery.

Authors:  Brandon Rohrer; Susan Fasoli; Hermano Igo Krebs; Richard Hughes; Bruce Volpe; Walter R Frontera; Joel Stein; Neville Hogan
Journal:  J Neurosci       Date:  2002-09-15       Impact factor: 6.167

9.  Movement timing and invariance arise from several geometries.

Authors:  Daniel Bennequin; Ronit Fuchs; Alain Berthoz; Tamar Flash
Journal:  PLoS Comput Biol       Date:  2009-07-10       Impact factor: 4.475

10.  New symmetry of intended curved reaches.

Authors:  Elizabeth B Torres
Journal:  Behav Brain Funct       Date:  2010-04-01       Impact factor: 3.759

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