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Whole Body Coordination for Self-Assistance in Locomotion

Seyfarth, André ; Zhao, Guoping and Jörntell, Henrik LU (2022) In Frontiers in Neurorobotics 16.
Abstract

The dynamics of the human body can be described by the accelerations and masses of the different body parts (e.g., legs, arm, trunk). These body parts can exhibit specific coordination patterns with each other. In human walking, we found that the swing leg cooperates with the upper body and the stance leg in different ways (e.g., in-phase and out-of-phase in vertical and horizontal directions, respectively). Such patterns of self-assistance found in human locomotion could be of advantage in robotics design, in the design of any assistive device for patients with movement impairments. It can also shed light on several unexplained infrastructural features of the CNS motor control. Self-assistance means that distributed parts of the body... (More)

The dynamics of the human body can be described by the accelerations and masses of the different body parts (e.g., legs, arm, trunk). These body parts can exhibit specific coordination patterns with each other. In human walking, we found that the swing leg cooperates with the upper body and the stance leg in different ways (e.g., in-phase and out-of-phase in vertical and horizontal directions, respectively). Such patterns of self-assistance found in human locomotion could be of advantage in robotics design, in the design of any assistive device for patients with movement impairments. It can also shed light on several unexplained infrastructural features of the CNS motor control. Self-assistance means that distributed parts of the body contribute to an overlay of functions that are required to solve the underlying motor task. To draw advantage of self-assisting effects, precise and balanced spatiotemporal patterns of muscle activation are necessary. We show that the necessary neural connectivity infrastructure to achieve such muscle control exists in abundance in the spinocerebellar circuitry. We discuss how these connectivity patterns of the spinal interneurons appear to be present already perinatally but also likely are learned. We also discuss the importance of these insights into whole body locomotion for the successful design of future assistive devices and the sense of control that they could ideally confer to the user.

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Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
biomechanics, body mechanics, human gait, neural control, stance, swing leg, trunk, walking
in
Frontiers in Neurorobotics
volume
16
article number
883641
publisher
Frontiers Media S. A.
external identifiers
  • scopus:85133386193
  • pmid:35747075
ISSN
1662-5218
DOI
10.3389/fnbot.2022.883641
language
English
LU publication?
yes
id
b341c3ba-3ce0-4938-986b-cf68eb1bcd22
date added to LUP
2022-09-23 11:16:40
date last changed
2024-06-25 03:03:58
@article{b341c3ba-3ce0-4938-986b-cf68eb1bcd22,
  abstract     = {{<p>The dynamics of the human body can be described by the accelerations and masses of the different body parts (e.g., legs, arm, trunk). These body parts can exhibit specific coordination patterns with each other. In human walking, we found that the swing leg cooperates with the upper body and the stance leg in different ways (e.g., in-phase and out-of-phase in vertical and horizontal directions, respectively). Such patterns of self-assistance found in human locomotion could be of advantage in robotics design, in the design of any assistive device for patients with movement impairments. It can also shed light on several unexplained infrastructural features of the CNS motor control. Self-assistance means that distributed parts of the body contribute to an overlay of functions that are required to solve the underlying motor task. To draw advantage of self-assisting effects, precise and balanced spatiotemporal patterns of muscle activation are necessary. We show that the necessary neural connectivity infrastructure to achieve such muscle control exists in abundance in the spinocerebellar circuitry. We discuss how these connectivity patterns of the spinal interneurons appear to be present already perinatally but also likely are learned. We also discuss the importance of these insights into whole body locomotion for the successful design of future assistive devices and the sense of control that they could ideally confer to the user.</p>}},
  author       = {{Seyfarth, André and Zhao, Guoping and Jörntell, Henrik}},
  issn         = {{1662-5218}},
  keywords     = {{biomechanics; body mechanics; human gait; neural control; stance; swing leg; trunk; walking}},
  language     = {{eng}},
  month        = {{06}},
  publisher    = {{Frontiers Media S. A.}},
  series       = {{Frontiers in Neurorobotics}},
  title        = {{Whole Body Coordination for Self-Assistance in Locomotion}},
  url          = {{http://dx.doi.org/10.3389/fnbot.2022.883641}},
  doi          = {{10.3389/fnbot.2022.883641}},
  volume       = {{16}},
  year         = {{2022}},
}