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http://hdl.handle.net/10397/118093
| Title: | Fabric-reinforced functional insoles with superior durability and antifracture properties for energy harvesting and AI-empowered motion monitoring | Authors: | Gao, Y Xu, B Qiu, M Li, Z Ahmed, T Yang, Y Guan, X Fu, H |
Issue Date: | 4-Mar-2025 | Source: | Advanced functional materials, 4 Mar. 2025, v. 35, no. 10, 2416577 | Abstract: | Functional triboelectric insoles hold promise for advancing self-powered wearable technologies. However, their durability is compromised by continuous compressive forces and friction, leading to surface abrasion and material fracturing. To address these challenges, an innovative fabric-reinforced structure combined with a dual-L backrest design is developed that enhances anti-fracture capabilities and electric outputs while enabling AI-empowered motion monitoring. Polydimethylsiloxane (PDMS) is used as the negative triboelectric material with a dual-L backrest design, while insulated copper wire (icuW) serves as the positive triboelectric material with an annular structure design. These components are intricately nested to enable a multilayered friction pairing. The fabric-reinforced structure demonstrates excellent compressive rebound resilience, withstanding forces of at least 1000 N. The functional insole, featuring a fabric-reinforced dual-L backrest structure (FRdL-insole), efficiently harvests biomechanical energy with a peak power of 8214 µW and maintains highly consistent performance after 10 washing cycles and 60 000 durability tests. It can power portable electronic devices such as digital watches, calculators, hygrometers, and LEDs. Enhanced with machine learning algorithms, the FRdL-insole processes sensor signals to monitor human movements, accurately identifying seven distinct motions. This positions the insole as a smart, real-time, self-powered tool for activity recognition, showcasing its potential in intelligent wearable technology. | Keywords: | Energy harvesting Fabric-reinforced structures Human motion recognition Machine learning Triboelectric nanogenerator |
Publisher: | Wiley-VCH | Journal: | Advanced functional materials | ISSN: | 1616-301X | EISSN: | 1616-3028 | DOI: | 10.1002/adfm.202416577 | Rights: | © 2024 Wiley-VCH GmbH This is the peer reviewed version of the following article: Y.Gao, B.Xu, M.Qiu, Z.Li, T.Ahmed, Y.Yang, X.Guan, H.Fu, Fabric-Reinforced Functional Insoles with Superior Durability and Antifracture Properties for Energy Harvesting and AI-Empowered Motion Monitoring. Adv. Funct. Mater.2025, 35, 2416577, which has been published in final form at https://doi.org/10.1002/adfm.202416577. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages thereof by third parties from platforms, services and websites other than Wiley Online Library must be prohibited. |
| Appears in Collections: | Journal/Magazine Article |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Gao_Fabric-reinforced_Functional_Insoles.pdf | Pre-Published version | 5.3 MB | Adobe PDF | View/Open |
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