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Sit-to-Stand (STS) Movement Analysis of the Center of Gravity for Human–Robot Interaction
As the aging process is springing up around the whole world, the problem of sit-to-stand (STS) for the elderly has become the focal point of older people themselves, their families, and society. The key challenge in solving this problem is developing and applying the technology of auxiliary robots f...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9189396/ https://www.ncbi.nlm.nih.gov/pubmed/35706551 http://dx.doi.org/10.3389/fnbot.2022.863722 |
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author | Wang, Haiyan Xu, Shanshan Fu, Jiayu Xu, Xiangrong Wang, Zhixiong Na, Ri Su |
author_facet | Wang, Haiyan Xu, Shanshan Fu, Jiayu Xu, Xiangrong Wang, Zhixiong Na, Ri Su |
author_sort | Wang, Haiyan |
collection | PubMed |
description | As the aging process is springing up around the whole world, the problem of sit-to-stand (STS) for the elderly has become the focal point of older people themselves, their families, and society. The key challenge in solving this problem is developing and applying the technology of auxiliary robots for standing up and auxiliary stands. The research is not only to find the appropriate fundamentals from a healthcare perspective in the center of gravity movement (COM) curve of the elderly during STS but also to meet the psychological needs of the elderly during STS in a comfortable, pleasant, and safe way. To obtain the skeleton tracking technology used in this study, we used the Vicon optical motion capture system and automatic moving target indicator (AMTI) 3-D force measuring table to obtain a COM curve of the elderly during STS. The stationary process, speed, and sitting posture analysis during STS were combined in this paper to seek a solution to the psychological needs of the elderly. The analysis is conducted with the integration of medicine, engineering, art, and science into this research. Finally, a movement curve and related dynamic parameters that can truly reflect the STS of the elderly are obtained, and the discussion is provided. The research result can provide theoretical and technical support for the later development of auxiliary robots for standing up and auxiliary stands technology products, so that the elderly can STS comfortably, happily, and safely with the assistance of human–robot interaction. |
format | Online Article Text |
id | pubmed-9189396 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-91893962022-06-14 Sit-to-Stand (STS) Movement Analysis of the Center of Gravity for Human–Robot Interaction Wang, Haiyan Xu, Shanshan Fu, Jiayu Xu, Xiangrong Wang, Zhixiong Na, Ri Su Front Neurorobot Neuroscience As the aging process is springing up around the whole world, the problem of sit-to-stand (STS) for the elderly has become the focal point of older people themselves, their families, and society. The key challenge in solving this problem is developing and applying the technology of auxiliary robots for standing up and auxiliary stands. The research is not only to find the appropriate fundamentals from a healthcare perspective in the center of gravity movement (COM) curve of the elderly during STS but also to meet the psychological needs of the elderly during STS in a comfortable, pleasant, and safe way. To obtain the skeleton tracking technology used in this study, we used the Vicon optical motion capture system and automatic moving target indicator (AMTI) 3-D force measuring table to obtain a COM curve of the elderly during STS. The stationary process, speed, and sitting posture analysis during STS were combined in this paper to seek a solution to the psychological needs of the elderly. The analysis is conducted with the integration of medicine, engineering, art, and science into this research. Finally, a movement curve and related dynamic parameters that can truly reflect the STS of the elderly are obtained, and the discussion is provided. The research result can provide theoretical and technical support for the later development of auxiliary robots for standing up and auxiliary stands technology products, so that the elderly can STS comfortably, happily, and safely with the assistance of human–robot interaction. Frontiers Media S.A. 2022-05-30 /pmc/articles/PMC9189396/ /pubmed/35706551 http://dx.doi.org/10.3389/fnbot.2022.863722 Text en Copyright © 2022 Wang, Xu, Fu, Xu, Wang and Na. 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 | Neuroscience Wang, Haiyan Xu, Shanshan Fu, Jiayu Xu, Xiangrong Wang, Zhixiong Na, Ri Su Sit-to-Stand (STS) Movement Analysis of the Center of Gravity for Human–Robot Interaction |
title | Sit-to-Stand (STS) Movement Analysis of the Center of Gravity for Human–Robot Interaction |
title_full | Sit-to-Stand (STS) Movement Analysis of the Center of Gravity for Human–Robot Interaction |
title_fullStr | Sit-to-Stand (STS) Movement Analysis of the Center of Gravity for Human–Robot Interaction |
title_full_unstemmed | Sit-to-Stand (STS) Movement Analysis of the Center of Gravity for Human–Robot Interaction |
title_short | Sit-to-Stand (STS) Movement Analysis of the Center of Gravity for Human–Robot Interaction |
title_sort | sit-to-stand (sts) movement analysis of the center of gravity for human–robot interaction |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9189396/ https://www.ncbi.nlm.nih.gov/pubmed/35706551 http://dx.doi.org/10.3389/fnbot.2022.863722 |
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