Multifunctional and Reconfigurable Electronic Fabrics Assisted by Artificial Intelligence for Human Augmentation

IF 17.2 1区 工程技术 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Advanced Fiber Materials Pub Date : 2023-12-14 DOI:10.1007/s42765-023-00350-z
Zihan Chen, Wansheng Lin, Cuirong Zhang, Yijing Xu, Chao Wei, Huanqiang Hu, Xinqin Liao, Zhong Chen
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Abstract

Noninvasive human augmentation, namely a desirable approach for enhancing the quality of life, can be achieved through wearable electronic devices that interact with the external environment. Wearable electronic devices endure limitations, such as unreliable signal interaction when bent or deformed, excessive wiring requirements, and lack of programmability and multifunctionality. Herein, we report an intelligent and programmable (IP) fabric sensor with bending insensitivity that overcomes these challenges associated with a rapid response time (< 400 μs) and exceptional durability (> 20,000 loading–unloading cycles). A single-layer parallel electrical bilateral structure is utilized to design the IP fabric sensor with reconfigurability and only two electrodes, which caters to the requirement of stable interactions and simple wiring. The multifunctionality of the IP fabric sensor is demonstrated by designing a closed-loop interactive entertainment system, a smart home system, and a user identification and verification system. This integrated system reveals the potential of combining Internet of Things technology and artificial intelligence (AI). Hopefully, the integration of the noninvasive IP fabric sensor with AI will facilitate the advancement of interactive systems for human augmentation.

Graphical Abstract

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人工智能辅助下的多功能可重构电子织物,用于增强人体功能
摘要 无创人体增强技术是提高生活质量的理想方法,可通过与外部环境互动的可穿戴电子设备实现。可穿戴电子设备存在一些局限性,如弯曲或变形时信号交互不可靠、布线要求过高以及缺乏可编程性和多功能性。在此,我们报告了一种对弯曲不敏感的智能可编程(IP)织物传感器,它克服了这些挑战,具有快速响应时间(400 μs)和超强耐用性(20,000 次装卸循环)。IP Fabric 传感器采用单层并联双边电气结构设计,可重新配置,只有两个电极,满足了稳定交互和简单布线的要求。通过设计一个闭环互动娱乐系统、一个智能家居系统以及一个用户识别和验证系统,展示了 IP 结构传感器的多功能性。这一集成系统揭示了物联网技术与人工智能(AI)相结合的潜力。希望非侵入式 IP Fabric 传感器与人工智能的结合能促进增强人类功能的互动系统的发展。 图形摘要
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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.
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