Literature DB >> 26302481

A Riemannian geometry theory of human movement: The geodesic synergy hypothesis.

Peter D Neilson1, Megan D Neilson2, Robin T Bye3.   

Abstract

Mass-inertia loads on muscles change with posture and with changing mechanical interactions between the body and the environment. The nervous system must anticipate changing mass-inertia loads, especially during fast multi-joint coordinated movements. Riemannian geometry provides a mathematical framework for movement planning that takes these inertial interactions into account. To demonstrate this we introduce the controlled (vs. biomechanical) degrees of freedom of the body as the coordinate system for a configuration space with movements represented as trajectories. This space is not Euclidean. It is endowed at each point with a metric equal to the mass-inertia matrix of the body in that configuration. This warps the space to become Riemannian with curvature at each point determined by the differentials of the mass-inertia at that point. This curvature takes nonlinear mass-inertia interactions into account with lengths, velocities, accelerations and directions of movement trajectories all differing from those in Euclidean space. For newcomers to Riemannian geometry we develop the intuitive groundwork for a Riemannian field theory of human movement encompassing the entire body moving in gravity and in mechanical interaction with the environment. In particular we present a geodesic synergy hypothesis concerning planning of multi-joint coordinated movements to achieve goals with minimal muscular effort.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Geometric control; Minimal effort; Multi-joint movement; Nonlinear dynamics; Trajectory planning

Mesh:

Year:  2015        PMID: 26302481     DOI: 10.1016/j.humov.2015.08.010

Source DB:  PubMed          Journal:  Hum Mov Sci        ISSN: 0167-9457            Impact factor:   2.161


  3 in total

1.  A Riemannian Geometry Theory of Three-Dimensional Binocular Visual Perception.

Authors:  Peter D Neilson; Megan D Neilson; Robin T Bye
Journal:  Vision (Basel)       Date:  2018-12-05

2.  A Riemannian Geometry Theory of Synergy Selection for Visually-Guided Movement.

Authors:  Peter D Neilson; Megan D Neilson; Robin T Bye
Journal:  Vision (Basel)       Date:  2021-05-25

3.  The Riemannian Geometry Theory of Visually-Guided Movement Accounts for Afterimage Illusions and Size Constancy.

Authors:  Peter D Neilson; Megan D Neilson; Robin T Bye
Journal:  Vision (Basel)       Date:  2022-06-20
  3 in total

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