journal article·2024-09Open access

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

Xiaodong Wu, Qi Liu, Lifei Zheng, Sijian Lin, Yiqun Zhang, Yangyang Song, Zhuqing Wang

Advanced Science· Volume 11· Issue 33

Abstract

Abstract Electronic 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.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Conducting polymers and applications · Polydiacetylene-based materials and applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Mechanical Engineering Sichuan University Chengdu 610065 China

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

Funding

Science and Technology Department of Sichuan Province

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