Please use this identifier to cite or link to this item: https://doi.org/10.1002/advs.202101834
Title: A Motion Capturing and Energy Harvesting Hybridized Lower-Limb System for Rehabilitation and Sports Applications
Authors: Gao, Shan
He, Tianyiyi 
Zhang, Zixuan 
Ao, Hongrui
Jiang, Hongyuan
Lee, Chengkuo 
Keywords: hybridized lower-limb system
piezoelectric energy harvester
rehabilitation
sports monitor
triboelectric sensors
Issue Date: 19-Aug-2021
Publisher: John Wiley and Sons Inc
Citation: Gao, Shan, He, Tianyiyi, Zhang, Zixuan, Ao, Hongrui, Jiang, Hongyuan, Lee, Chengkuo (2021-08-19). A Motion Capturing and Energy Harvesting Hybridized Lower-Limb System for Rehabilitation and Sports Applications. Advanced Science 8 (20) : 2101834. ScholarBank@NUS Repository. https://doi.org/10.1002/advs.202101834
Rights: Attribution 4.0 International
Abstract: 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. © 2021 The Authors. Advanced Science published by Wiley-VCH GmbH
Source Title: Advanced Science
URI: https://scholarbank.nus.edu.sg/handle/10635/232015
ISSN: 2198-3844
DOI: 10.1002/advs.202101834
Rights: Attribution 4.0 International
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