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Modelling the interaction between wearable assistive devices and digital human models—A systematic review

Exoskeletons, orthoses, exosuits, assisting robots and such devices referred to as wearable assistive devices are devices designed to augment or protect the human body by applying and transmitting force. Due to the problems concerning cost- and time-consuming user tests, in addition to the possibili...

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Autores principales: Scherb, David, Wartzack, Sandro, Miehling, Jörg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9872199/
https://www.ncbi.nlm.nih.gov/pubmed/36704313
http://dx.doi.org/10.3389/fbioe.2022.1044275
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author Scherb, David
Wartzack, Sandro
Miehling, Jörg
author_facet Scherb, David
Wartzack, Sandro
Miehling, Jörg
author_sort Scherb, David
collection PubMed
description Exoskeletons, orthoses, exosuits, assisting robots and such devices referred to as wearable assistive devices are devices designed to augment or protect the human body by applying and transmitting force. Due to the problems concerning cost- and time-consuming user tests, in addition to the possibility to test different configurations of a device, the avoidance of a prototype and many more advantages, digital human models become more and more popular for evaluating the effects of wearable assistive devices on humans. The key indicator for the efficiency of assistance is the interface between device and human, consisting mainly of the soft biological tissue. However, the soft biological tissue is mostly missing in digital human models due to their rigid body dynamics. Therefore, this systematic review aims to identify interaction modelling approaches between wearable assistive devices and digital human models and especially to study how the soft biological tissue is considered in the simulation. The review revealed four interaction modelling approaches, which differ in their accuracy to recreate the occurring interactions in reality. Furthermore, within these approaches there are some incorporating the appearing relative motion between device and human body due to the soft biological tissue in the simulation. The influence of the soft biological tissue on the force transmission due to energy absorption on the other side is not considered in any publication yet. Therefore, the development of an approach to integrate the viscoelastic behaviour of soft biological tissue in the digital human models could improve the design of the wearable assistive devices and thus increase its efficiency and efficacy.
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spelling pubmed-98721992023-01-25 Modelling the interaction between wearable assistive devices and digital human models—A systematic review Scherb, David Wartzack, Sandro Miehling, Jörg Front Bioeng Biotechnol Bioengineering and Biotechnology Exoskeletons, orthoses, exosuits, assisting robots and such devices referred to as wearable assistive devices are devices designed to augment or protect the human body by applying and transmitting force. Due to the problems concerning cost- and time-consuming user tests, in addition to the possibility to test different configurations of a device, the avoidance of a prototype and many more advantages, digital human models become more and more popular for evaluating the effects of wearable assistive devices on humans. The key indicator for the efficiency of assistance is the interface between device and human, consisting mainly of the soft biological tissue. However, the soft biological tissue is mostly missing in digital human models due to their rigid body dynamics. Therefore, this systematic review aims to identify interaction modelling approaches between wearable assistive devices and digital human models and especially to study how the soft biological tissue is considered in the simulation. The review revealed four interaction modelling approaches, which differ in their accuracy to recreate the occurring interactions in reality. Furthermore, within these approaches there are some incorporating the appearing relative motion between device and human body due to the soft biological tissue in the simulation. The influence of the soft biological tissue on the force transmission due to energy absorption on the other side is not considered in any publication yet. Therefore, the development of an approach to integrate the viscoelastic behaviour of soft biological tissue in the digital human models could improve the design of the wearable assistive devices and thus increase its efficiency and efficacy. Frontiers Media S.A. 2023-01-10 /pmc/articles/PMC9872199/ /pubmed/36704313 http://dx.doi.org/10.3389/fbioe.2022.1044275 Text en Copyright © 2023 Scherb, Wartzack and Miehling. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Bioengineering and Biotechnology
Scherb, David
Wartzack, Sandro
Miehling, Jörg
Modelling the interaction between wearable assistive devices and digital human models—A systematic review
title Modelling the interaction between wearable assistive devices and digital human models—A systematic review
title_full Modelling the interaction between wearable assistive devices and digital human models—A systematic review
title_fullStr Modelling the interaction between wearable assistive devices and digital human models—A systematic review
title_full_unstemmed Modelling the interaction between wearable assistive devices and digital human models—A systematic review
title_short Modelling the interaction between wearable assistive devices and digital human models—A systematic review
title_sort modelling the interaction between wearable assistive devices and digital human models—a systematic review
topic Bioengineering and Biotechnology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9872199/
https://www.ncbi.nlm.nih.gov/pubmed/36704313
http://dx.doi.org/10.3389/fbioe.2022.1044275
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