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Inertial biometry from commercial 3D body meshes

Body segments inertial parameters (or, more generally encompassing humans and animal species, inertial biometry), often necessary in kinetics calculations, have been obtained in the past from cadavers, medical 3D imaging, 3D scanning, or geometric approximations. This restricted the inertial archive...

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Detalles Bibliográficos
Autores principales: Minetti, Alberto E., Ruggiero, Luca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Company of Biologists Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988050/
https://www.ncbi.nlm.nih.gov/pubmed/35343571
http://dx.doi.org/10.1242/bio.058927
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author Minetti, Alberto E.
Ruggiero, Luca
author_facet Minetti, Alberto E.
Ruggiero, Luca
author_sort Minetti, Alberto E.
collection PubMed
description Body segments inertial parameters (or, more generally encompassing humans and animal species, inertial biometry), often necessary in kinetics calculations, have been obtained in the past from cadavers, medical 3D imaging, 3D scanning, or geometric approximations. This restricted the inertial archives to a few species. The methodology presented here uses commercial 3D meshes of human and animal bodies, which can be further re-shaped and ‘posed’, according to an underlying skeletal structure, before processing. The sequence of steps from virtually chopping the mesh to the estimation of inertial parameters of body segments is described. The accuracy of the method is tested by comparing the estimated results to real data published for humans (male and female), horses, and domestic cats. The proposed procedure opens the possibility of remarkably expanding biomechanics research when body size and shape change, or when external tools, such as prosthesis and sport material, take part in biological movement.
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spelling pubmed-89880502022-04-07 Inertial biometry from commercial 3D body meshes Minetti, Alberto E. Ruggiero, Luca Biol Open Methods & Techniques Body segments inertial parameters (or, more generally encompassing humans and animal species, inertial biometry), often necessary in kinetics calculations, have been obtained in the past from cadavers, medical 3D imaging, 3D scanning, or geometric approximations. This restricted the inertial archives to a few species. The methodology presented here uses commercial 3D meshes of human and animal bodies, which can be further re-shaped and ‘posed’, according to an underlying skeletal structure, before processing. The sequence of steps from virtually chopping the mesh to the estimation of inertial parameters of body segments is described. The accuracy of the method is tested by comparing the estimated results to real data published for humans (male and female), horses, and domestic cats. The proposed procedure opens the possibility of remarkably expanding biomechanics research when body size and shape change, or when external tools, such as prosthesis and sport material, take part in biological movement. The Company of Biologists Ltd 2022-03-28 /pmc/articles/PMC8988050/ /pubmed/35343571 http://dx.doi.org/10.1242/bio.058927 Text en © 2022. Published by The Company of Biologists Ltd https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.
spellingShingle Methods & Techniques
Minetti, Alberto E.
Ruggiero, Luca
Inertial biometry from commercial 3D body meshes
title Inertial biometry from commercial 3D body meshes
title_full Inertial biometry from commercial 3D body meshes
title_fullStr Inertial biometry from commercial 3D body meshes
title_full_unstemmed Inertial biometry from commercial 3D body meshes
title_short Inertial biometry from commercial 3D body meshes
title_sort inertial biometry from commercial 3d body meshes
topic Methods & Techniques
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988050/
https://www.ncbi.nlm.nih.gov/pubmed/35343571
http://dx.doi.org/10.1242/bio.058927
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