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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 |
Appears in Collections: | Staff Publications Elements |
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