Cargando…

A Motion Capturing and Energy Harvesting Hybridized Lower‐Limb System for Rehabilitation and Sports Applications

Lower‐limb motion monitoring is highly desired in various application scenarios ranging from rehabilitation to sports training. However, there still lacks a cost‐effective, energy‐saving, and computational complexity‐reducing solution for this specific demand. Here, a motion capturing and energy har...

Descripción completa

Detalles Bibliográficos
Autores principales: Gao, Shan, He, Tianyiyi, Zhang, Zixuan, Ao, Hongrui, Jiang, Hongyuan, Lee, Chengkuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8529439/
https://www.ncbi.nlm.nih.gov/pubmed/34414697
http://dx.doi.org/10.1002/advs.202101834
_version_ 1784586470500073472
author Gao, Shan
He, Tianyiyi
Zhang, Zixuan
Ao, Hongrui
Jiang, Hongyuan
Lee, Chengkuo
author_facet Gao, Shan
He, Tianyiyi
Zhang, Zixuan
Ao, Hongrui
Jiang, Hongyuan
Lee, Chengkuo
author_sort Gao, Shan
collection PubMed
description Lower‐limb motion monitoring is highly desired in various application scenarios ranging from rehabilitation to sports training. However, there still lacks a cost‐effective, energy‐saving, and computational complexity‐reducing solution for this specific demand. Here, a motion capturing and energy harvesting hybridized lower‐limb (MC‐EH‐HL) system with 3D printing is demonstrated. It enables low‐frequency biomechanical energy harvesting with a sliding block‐rail piezoelectric generator (S‐PEG) and lower‐limb motion sensing with a ratchet‐based triboelectric nanogenerator (R‐TENG). A unique S‐PEG is proposed with particularly designed mechanical structures to convert lower‐limb 3D motion into 1D linear sliding on the rail. On the one hand, high output power is achieved with the S‐PEG working at a very low frequency, which realizes self‐sustainable systems for wireless sensing under the Internet of Things framework. On the other hand, the R‐TENG gives rise to digitalized triboelectric output, matching the rotation angles to the pulse numbers. Additional physical parameters can be estimated to enrich the sensory dimension. Accordingly, demonstrative rehabilitation, human‐machine interfacing in virtual reality, and sports monitoring are presented. This developed hybridized system exhibits an economic and energy‐efficient solution to support the need for lower‐limb motion tracking in various scenarios, paving the way for self‐sustainable multidimensional motion tracking systems in near future.
format Online
Article
Text
id pubmed-8529439
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-85294392021-10-27 A Motion Capturing and Energy Harvesting Hybridized Lower‐Limb System for Rehabilitation and Sports Applications Gao, Shan He, Tianyiyi Zhang, Zixuan Ao, Hongrui Jiang, Hongyuan Lee, Chengkuo Adv Sci (Weinh) Research Articles Lower‐limb motion monitoring is highly desired in various application scenarios ranging from rehabilitation to sports training. However, there still lacks a cost‐effective, energy‐saving, and computational complexity‐reducing solution for this specific demand. Here, a motion capturing and energy harvesting hybridized lower‐limb (MC‐EH‐HL) system with 3D printing is demonstrated. It enables low‐frequency biomechanical energy harvesting with a sliding block‐rail piezoelectric generator (S‐PEG) and lower‐limb motion sensing with a ratchet‐based triboelectric nanogenerator (R‐TENG). A unique S‐PEG is proposed with particularly designed mechanical structures to convert lower‐limb 3D motion into 1D linear sliding on the rail. On the one hand, high output power is achieved with the S‐PEG working at a very low frequency, which realizes self‐sustainable systems for wireless sensing under the Internet of Things framework. On the other hand, the R‐TENG gives rise to digitalized triboelectric output, matching the rotation angles to the pulse numbers. Additional physical parameters can be estimated to enrich the sensory dimension. Accordingly, demonstrative rehabilitation, human‐machine interfacing in virtual reality, and sports monitoring are presented. This developed hybridized system exhibits an economic and energy‐efficient solution to support the need for lower‐limb motion tracking in various scenarios, paving the way for self‐sustainable multidimensional motion tracking systems in near future. John Wiley and Sons Inc. 2021-08-19 /pmc/articles/PMC8529439/ /pubmed/34414697 http://dx.doi.org/10.1002/advs.202101834 Text en © 2021 The Authors. Advanced Science published by Wiley‐VCH GmbH https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Gao, Shan
He, Tianyiyi
Zhang, Zixuan
Ao, Hongrui
Jiang, Hongyuan
Lee, Chengkuo
A Motion Capturing and Energy Harvesting Hybridized Lower‐Limb System for Rehabilitation and Sports Applications
title A Motion Capturing and Energy Harvesting Hybridized Lower‐Limb System for Rehabilitation and Sports Applications
title_full A Motion Capturing and Energy Harvesting Hybridized Lower‐Limb System for Rehabilitation and Sports Applications
title_fullStr A Motion Capturing and Energy Harvesting Hybridized Lower‐Limb System for Rehabilitation and Sports Applications
title_full_unstemmed A Motion Capturing and Energy Harvesting Hybridized Lower‐Limb System for Rehabilitation and Sports Applications
title_short A Motion Capturing and Energy Harvesting Hybridized Lower‐Limb System for Rehabilitation and Sports Applications
title_sort motion capturing and energy harvesting hybridized lower‐limb system for rehabilitation and sports applications
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8529439/
https://www.ncbi.nlm.nih.gov/pubmed/34414697
http://dx.doi.org/10.1002/advs.202101834
work_keys_str_mv AT gaoshan amotioncapturingandenergyharvestinghybridizedlowerlimbsystemforrehabilitationandsportsapplications
AT hetianyiyi amotioncapturingandenergyharvestinghybridizedlowerlimbsystemforrehabilitationandsportsapplications
AT zhangzixuan amotioncapturingandenergyharvestinghybridizedlowerlimbsystemforrehabilitationandsportsapplications
AT aohongrui amotioncapturingandenergyharvestinghybridizedlowerlimbsystemforrehabilitationandsportsapplications
AT jianghongyuan amotioncapturingandenergyharvestinghybridizedlowerlimbsystemforrehabilitationandsportsapplications
AT leechengkuo amotioncapturingandenergyharvestinghybridizedlowerlimbsystemforrehabilitationandsportsapplications
AT gaoshan motioncapturingandenergyharvestinghybridizedlowerlimbsystemforrehabilitationandsportsapplications
AT hetianyiyi motioncapturingandenergyharvestinghybridizedlowerlimbsystemforrehabilitationandsportsapplications
AT zhangzixuan motioncapturingandenergyharvestinghybridizedlowerlimbsystemforrehabilitationandsportsapplications
AT aohongrui motioncapturingandenergyharvestinghybridizedlowerlimbsystemforrehabilitationandsportsapplications
AT jianghongyuan motioncapturingandenergyharvestinghybridizedlowerlimbsystemforrehabilitationandsportsapplications
AT leechengkuo motioncapturingandenergyharvestinghybridizedlowerlimbsystemforrehabilitationandsportsapplications