Innervate Commercial Fabrics with Spirally‐Layered Iontronic Fibrous Sensors Toward Dual‐Functional Smart Garments

Author:

Wu Xiaodong1ORCID,Liu Qi1,Zheng Lifei1,Lin Sijian1,Zhang Yiqun1,Song Yangyang1,Wang Zhuqing12

Affiliation:

1. School of Mechanical Engineering Sichuan University Chengdu 610065 China

2. Med+X Center for Manufacturing West China Hospital Sichuan University Chengdu 610041 China

Abstract

AbstractElectronic fabrics exhibit desirable breathability, wearing comfort, and easy integration with garments. However, surficial deposition of electronically functional materials/compounds onto fabric substrates would consequentially alter their intrinsic properties (e.g., softness, permeability, biocompatibility, etc.). To address this issue, here, a strategy to innervate arbitrary commercial fabrics with unique spirally‐layered iontronic fibrous (SLIF) sensors is presented to realize both mechanical and thermal sensing functionalities without sacrificing the intrinsic fabric properties. The mechanical sensing function is realized via mechanically regulating the interfacial ionic supercapacitance between two perpendicular SLIF sensors, while the thermal sensing function is achieved based on thermally modulating the intrinsic ionic impedance in a single SLIF sensor. The resultant SLIF sensor‐innervated electronic fabrics exhibit high mechanical sensitivity of 81 N−1, superior thermal sensitivity of 34,400 Ω °C−1, and more importantly, greatly minimized mutual interference between the two sensing functions. As demonstrations, various smart garments are developed for the precise monitoring of diverse human physiological signals. Moreover, artificial intelligence‐assisted object recognition with high‐accuracy (97.8%) is demonstrated with a SLIF sensor‐innervated smart glove. This work opens up a new path toward the facile construction of versatile smart garments for wearable healthcare, human‐machine interfaces, and the Internet of Things.

Funder

Science and Technology Department of Sichuan Province

Publisher

Wiley

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3