• Advanced Fiber Materials
  • Vol. 6, Issue 1, 00350 (2024)
Zihan Chen1,2, Wansheng Lin1, Cuirong Zhang1, Yijing Xu1..., Chao Wei1, Huanqiang Hu2, Xinqin Liao1,* and Zhong Chen1,**|Show fewer author(s)
Author Affiliations
  • 1Department of Electronic Science, Xiamen University, Xiamen 361005, China
  • 2College of Photonic and Electronic Engineering, Fujian Normal University, Fuzhou 350007, China
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    DOI: 10.1007/s42765-023-00350-z Cite this Article
    Zihan Chen, Wansheng Lin, Cuirong Zhang, Yijing Xu, Chao Wei, Huanqiang Hu, Xinqin Liao, Zhong Chen. Multifunctional and Reconfigurable Electronic Fabrics Assisted by Artificial Intelligence for Human Augmentation[J]. Advanced Fiber Materials, 2024, 6(1): 00350 Copy Citation Text show less

    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.
    Zihan Chen, Wansheng Lin, Cuirong Zhang, Yijing Xu, Chao Wei, Huanqiang Hu, Xinqin Liao, Zhong Chen. Multifunctional and Reconfigurable Electronic Fabrics Assisted by Artificial Intelligence for Human Augmentation[J]. Advanced Fiber Materials, 2024, 6(1): 00350
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