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An interactive game for rehabilitation based on real-time hand gesture recognition
Currently, cardiovascular and cerebrovascular diseases have become serious global health problems related to their high incidence and fatality rate. Some patients with cardiovascular cerebro-cardiovascular diseases even may face motor or cognitive dysfunction after surgery. In recent years, human–co...
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/PMC9643738/ https://www.ncbi.nlm.nih.gov/pubmed/36388091 http://dx.doi.org/10.3389/fphys.2022.1028907 |
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author | Chen, Jiang Zhao, Shuying Meng, Huaning Cheng, Xu Tan, Wenjun |
author_facet | Chen, Jiang Zhao, Shuying Meng, Huaning Cheng, Xu Tan, Wenjun |
author_sort | Chen, Jiang |
collection | PubMed |
description | Currently, cardiovascular and cerebrovascular diseases have become serious global health problems related to their high incidence and fatality rate. Some patients with cardiovascular cerebro-cardiovascular diseases even may face motor or cognitive dysfunction after surgery. In recent years, human–computer interactive systems with artificial intelligence have become an important part of human well-being because they enable novel forms of rehabilitation therapies. We propose an interactive game utilizing real-time skeleton-based hand gesture recognition, which aims to assist rehabilitation exercises by improving the hand-eye coordination of the patients during a game-like experience. For this purpose, we propose a lightweight residual graph convolutional architecture for hand gesture recognition. Furthermore, we designed the whole system using the proposed gesture recognition module and some third-party modules. Finally, some participants were invited to test our system and most of them showed an improvement in their passing rate of the game during the test process. |
format | Online Article Text |
id | pubmed-9643738 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96437382022-11-15 An interactive game for rehabilitation based on real-time hand gesture recognition Chen, Jiang Zhao, Shuying Meng, Huaning Cheng, Xu Tan, Wenjun Front Physiol Physiology Currently, cardiovascular and cerebrovascular diseases have become serious global health problems related to their high incidence and fatality rate. Some patients with cardiovascular cerebro-cardiovascular diseases even may face motor or cognitive dysfunction after surgery. In recent years, human–computer interactive systems with artificial intelligence have become an important part of human well-being because they enable novel forms of rehabilitation therapies. We propose an interactive game utilizing real-time skeleton-based hand gesture recognition, which aims to assist rehabilitation exercises by improving the hand-eye coordination of the patients during a game-like experience. For this purpose, we propose a lightweight residual graph convolutional architecture for hand gesture recognition. Furthermore, we designed the whole system using the proposed gesture recognition module and some third-party modules. Finally, some participants were invited to test our system and most of them showed an improvement in their passing rate of the game during the test process. Frontiers Media S.A. 2022-10-26 /pmc/articles/PMC9643738/ /pubmed/36388091 http://dx.doi.org/10.3389/fphys.2022.1028907 Text en Copyright © 2022 Chen, Zhao, Meng, Cheng and Tan. 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 | Physiology Chen, Jiang Zhao, Shuying Meng, Huaning Cheng, Xu Tan, Wenjun An interactive game for rehabilitation based on real-time hand gesture recognition |
title | An interactive game for rehabilitation based on real-time hand gesture recognition |
title_full | An interactive game for rehabilitation based on real-time hand gesture recognition |
title_fullStr | An interactive game for rehabilitation based on real-time hand gesture recognition |
title_full_unstemmed | An interactive game for rehabilitation based on real-time hand gesture recognition |
title_short | An interactive game for rehabilitation based on real-time hand gesture recognition |
title_sort | interactive game for rehabilitation based on real-time hand gesture recognition |
topic | Physiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9643738/ https://www.ncbi.nlm.nih.gov/pubmed/36388091 http://dx.doi.org/10.3389/fphys.2022.1028907 |
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