Mechano-intelligent Auxetic Triboelectric Textiles for Enhanced Energy Harvesting and AI-Driven Gesture Recognition

IF 22.6 1区 工程技术 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Yuanyuan Gao, Zhenyu Li, Minyu Qiu, Taosif Ahmed, Tingyi Yin, Xiangkun Bo, King Yan Chung, Hong Hu, Hong Fu, Bingang Xu
{"title":"Mechano-intelligent Auxetic Triboelectric Textiles for Enhanced Energy Harvesting and AI-Driven Gesture Recognition","authors":"Yuanyuan Gao,&nbsp;Zhenyu Li,&nbsp;Minyu Qiu,&nbsp;Taosif Ahmed,&nbsp;Tingyi Yin,&nbsp;Xiangkun Bo,&nbsp;King Yan Chung,&nbsp;Hong Hu,&nbsp;Hong Fu,&nbsp;Bingang Xu","doi":"10.1007/s42765-026-00730-1","DOIUrl":null,"url":null,"abstract":"<div><p>The advancement of wearable electronics, especially smart clothing, is limited by the rigidity and bulkiness of conventional power sources, highlighting the need for sustainable energy solutions. Textile-based triboelectric nanogenerators (T-TENGs) offer a promising approach for harvesting biomechanical energy and enabling self-powered sensing. However, traditional planar or simple 3D T-TENG structures often struggle to adapt efficiently to complex human motions, resulting in reduced electrical output and stability. In this study, we present a mechano-intelligent auxetic triboelectric textile (MIA-TENG) that integrates auxetic structures into the fabric to actively enhance contact and separation dynamics at the triboelectric interface. The MIA-TENG, fabricated from a composite of polydimethylsiloxane (PDMS) and nylon fabric, leverages the negative Poisson’s ratio effect of auxetic structures to enhance output performance with wearing comfort. Experimental results show that the MIA-TENG achieves a peak power output of 3610 mW m<sup>−2</sup> and maintains excellent durability and washability, with a stable performance after 10 washing cycles and 60,000 mechanical tests. The device can power portable electronics and is suitable for both large-joint protection and high-fidelity gesture sensing. Combined with machine learning algorithms, the system enables accurate gesture recognition, offering an integrated platform for advanced applications in motion capture, health monitoring, and smart sports.</p><h3>Graphical Abstract</h3>\n<div><figure><div><div><picture><source><img></source></picture></div></div></figure></div></div>","PeriodicalId":459,"journal":{"name":"Advanced Fiber Materials","volume":"8 5","pages":"2079 - 2093"},"PeriodicalIF":22.6000,"publicationDate":"2026-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s42765-026-00730-1.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Fiber Materials","FirstCategoryId":"88","ListUrlMain":"https://link.springer.com/article/10.1007/s42765-026-00730-1","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0

Abstract

The advancement of wearable electronics, especially smart clothing, is limited by the rigidity and bulkiness of conventional power sources, highlighting the need for sustainable energy solutions. Textile-based triboelectric nanogenerators (T-TENGs) offer a promising approach for harvesting biomechanical energy and enabling self-powered sensing. However, traditional planar or simple 3D T-TENG structures often struggle to adapt efficiently to complex human motions, resulting in reduced electrical output and stability. In this study, we present a mechano-intelligent auxetic triboelectric textile (MIA-TENG) that integrates auxetic structures into the fabric to actively enhance contact and separation dynamics at the triboelectric interface. The MIA-TENG, fabricated from a composite of polydimethylsiloxane (PDMS) and nylon fabric, leverages the negative Poisson’s ratio effect of auxetic structures to enhance output performance with wearing comfort. Experimental results show that the MIA-TENG achieves a peak power output of 3610 mW m−2 and maintains excellent durability and washability, with a stable performance after 10 washing cycles and 60,000 mechanical tests. The device can power portable electronics and is suitable for both large-joint protection and high-fidelity gesture sensing. Combined with machine learning algorithms, the system enables accurate gesture recognition, offering an integrated platform for advanced applications in motion capture, health monitoring, and smart sports.

Graphical Abstract

用于增强能量收集和人工智能驱动手势识别的机械智能辅助摩擦电纺织品
可穿戴电子产品,特别是智能服装的进步,受到传统电源的刚性和体积的限制,突出了对可持续能源解决方案的需求。基于纺织品的摩擦电纳米发电机(t - teng)为收集生物机械能和实现自供电传感提供了一种很有前途的方法。然而,传统的平面或简单的3D T-TENG结构往往难以有效地适应复杂的人体运动,导致电力输出和稳定性降低。在这项研究中,我们提出了一种机械-智能互助性摩擦电纺织品(MIA-TENG),它将互助性结构集成到织物中,以主动增强摩擦电界面的接触和分离动力学。MIA-TENG由聚二甲基硅氧烷(PDMS)和尼龙织物的复合材料制成,利用消长结构的负泊松比效应来提高输出性能和穿着舒适性。实验结果表明,MIA-TENG的峰值输出功率为3610 mW m−2,并保持了优异的耐久性和耐洗性,经过10次洗涤和6万次机械测试后,性能稳定。该装置可以为便携式电子设备供电,适用于大关节保护和高保真手势感应。结合机器学习算法,该系统可实现精确的手势识别,为运动捕捉、健康监测和智能运动等高级应用提供集成平台。图形抽象
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
18.70
自引率
11.20%
发文量
109
期刊介绍: Advanced Fiber Materials is a hybrid, peer-reviewed, international and interdisciplinary research journal which aims to publish the most important papers in fibers and fiber-related devices as well as their applications.Indexed by SCIE, EI, Scopus et al. Publishing on fiber or fiber-related materials, technology, engineering and application.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书