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The Measure of Motion Similarity for Robotics Application †
A new measure of motion similarity has been proposed. The formulation of this measure is presented and its logical basis is described. Unlike in most of other methods, the measure enables easy determination of the instantaneous synergies of the motion of body parts. To demonstrate how to use the mea...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919200/ https://www.ncbi.nlm.nih.gov/pubmed/36772683 http://dx.doi.org/10.3390/s23031643 |
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author | Zielinska, Teresa Coba, Gabriel |
author_facet | Zielinska, Teresa Coba, Gabriel |
author_sort | Zielinska, Teresa |
collection | PubMed |
description | A new measure of motion similarity has been proposed. The formulation of this measure is presented and its logical basis is described. Unlike in most of other methods, the measure enables easy determination of the instantaneous synergies of the motion of body parts. To demonstrate how to use the measure, the data describing human movement is used. The movement is recorded using a professional motion capture system. Two different cases of non-periodic movements are discussed: stepping forward and backward, and returning to a stable posture after an unexpected thrust to the side (hands free or tied). This choice enables the identification of synergies in slow dynamics (stepping) and in fast dynamics (push recovery). The trajectories of motion similarity measures are obtained for point masses of the human body. The interpretation of these trajectories in relation to motion events is discussed. In addition, ordinary motion trajectories and footprints are shown in order to better illustrate the specificity of the discussed examples. The article ends with a discussion and conclusions. |
format | Online Article Text |
id | pubmed-9919200 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99192002023-02-12 The Measure of Motion Similarity for Robotics Application † Zielinska, Teresa Coba, Gabriel Sensors (Basel) Article A new measure of motion similarity has been proposed. The formulation of this measure is presented and its logical basis is described. Unlike in most of other methods, the measure enables easy determination of the instantaneous synergies of the motion of body parts. To demonstrate how to use the measure, the data describing human movement is used. The movement is recorded using a professional motion capture system. Two different cases of non-periodic movements are discussed: stepping forward and backward, and returning to a stable posture after an unexpected thrust to the side (hands free or tied). This choice enables the identification of synergies in slow dynamics (stepping) and in fast dynamics (push recovery). The trajectories of motion similarity measures are obtained for point masses of the human body. The interpretation of these trajectories in relation to motion events is discussed. In addition, ordinary motion trajectories and footprints are shown in order to better illustrate the specificity of the discussed examples. The article ends with a discussion and conclusions. MDPI 2023-02-02 /pmc/articles/PMC9919200/ /pubmed/36772683 http://dx.doi.org/10.3390/s23031643 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zielinska, Teresa Coba, Gabriel The Measure of Motion Similarity for Robotics Application † |
title | The Measure of Motion Similarity for Robotics Application † |
title_full | The Measure of Motion Similarity for Robotics Application † |
title_fullStr | The Measure of Motion Similarity for Robotics Application † |
title_full_unstemmed | The Measure of Motion Similarity for Robotics Application † |
title_short | The Measure of Motion Similarity for Robotics Application † |
title_sort | measure of motion similarity for robotics application † |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919200/ https://www.ncbi.nlm.nih.gov/pubmed/36772683 http://dx.doi.org/10.3390/s23031643 |
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