Literature DB >> 24910507

Movement Forms: A Graph-Dynamic Perspective.

Elliot Saltzman1, Ken Holt2.   

Abstract

The focus of this paper is on characterizing the physical movement forms (e.g., walk, crawl, roll, etc.) that can be used to actualize abstract, functionally-specified behavioral goals (e.g., locomotion). Emphasis is placed on how such forms are distinguished from one another, in part, by the set of topological patterns of physical contact between agent and environment (i.e., the set of physical graphs associated with each form) and the transitions among these patterns displayed over the course of performance (i.e., the form's physical graph dynamics). Crucial in this regard is the creation and dissolution of loops in these graphs, which can be related to the distinction between open and closed kinematic chains. Formal similarities are described within the theoretical framework of task-dynamics between physically-closed kinematic chains (physical loops) that are created during various movement forms and functionally-closed kinematic chains (functional loops) that are associated with task-space control of end-effectors; it is argued that both types of loop must be flexibly incorporated into the coordinative structures that govern skilled action. Final speculation is focused on the role of graphs and their dynamics, not only in processes of coordination and control for individual agents, but also in processes of inter-agent coordination and the coupling of agents with (non-sentient) environmental objects.

Entities:  

Year:  2014        PMID: 24910507      PMCID: PMC4043385          DOI: 10.1080/10407413.2014.874891

Source DB:  PubMed          Journal:  Ecol Psychol        ISSN: 1040-7413


  9 in total

1.  Identifying the control structure of multijoint coordination during pistol shooting.

Authors:  J P Scholz; G Schöner; M L Latash
Journal:  Exp Brain Res       Date:  2000-12       Impact factor: 1.972

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Authors:  Carla M A Pinto; Martin Golubitsky
Journal:  J Math Biol       Date:  2006-07-28       Impact factor: 2.259

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7.  Human odometry verifies the symmetry perspective on bipedal gaits.

Authors:  M T Turvey; Steven J Harrison; Till D Frank; Claudia Carello
Journal:  J Exp Psychol Hum Percept Perform       Date:  2012-04-16       Impact factor: 3.332

8.  A neural model of visually guided steering, obstacle avoidance, and route selection.

Authors:  David M Elder; Stephen Grossberg; Ennio Mingolla
Journal:  J Exp Psychol Hum Percept Perform       Date:  2009-10       Impact factor: 3.332

9.  Behavioral dynamics of intercepting a moving target.

Authors:  Brett R Fajen; William H Warren
Journal:  Exp Brain Res       Date:  2007-02-02       Impact factor: 2.064

  9 in total
  1 in total

1.  Computing low-dimensional representations of speech from socio-auditory structures for phonetic analyses.

Authors:  Andrew R Plummer; Patrick F Reidy
Journal:  J Phon       Date:  2018-10-24
  1 in total

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