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作 者:Zekun Liu Tianxue Zhu Junru Wang Zijian Zheng Yi Li Jiashen Li Yuekun Lai
机构地区:[1]Department of Materials,The University of Manchester,Oxford Road,Manchester M139PL,UK [2]College of Chemical Engineering,Fuzhou University,Fuzhou 350116,China [3]Institute of Textiles and Clothing,Research Institute for Intelligent Wearable Systems,Research Institute for Smart Energy,The Hong Kong Polytechnic University,Hung Hom,Hong Kong,SAR,China
出 处:《Nano-Micro Letters》2022年第4期90-128,共39页纳微快报(英文版)
基 金:supported by the EU Horizon 2020 through project ETEXWELD-H2020-MSCA-RISE-2014(Grant No.644268);The University of Manchester through UMRI project“Graphene-Smart Textiles E-Healthcare Network”(AA14512);National Natural Science Foundation of China(No.22075046).
摘 要:Wearable strain sensors are arousing increasing research interests in recent years on account of their potentials in motion detection,personal and public healthcare,future entertainment,man-machine interaction,artificial intelligence,and so forth.Much research has focused on fiber-based sensors due to the appealing performance of fibers,including processing flexibility,wearing comfortability,outstanding lifetime and serviceability,low-cost and large-scale capacity.Herein,we review the latest advances in functionalization and device fabrication of fiber materials toward applications in fiber-based wearable strain sensors.We describe the approaches for preparing conductive fibers such as spinning,surface modification,and structural transformation.We also introduce the fabrication and sensing mechanisms of state-of-the-art sensors and analyze their merits and demerits.The applications toward motion detection,healthcare,man-machine interaction,future entertainment,and multifunctional sensing are summarized with typical examples.We finally critically analyze tough challenges and future remarks of fiber-based strain sensors,aiming to implement them in real applications.
关 键 词:Wearable strain sensor Fiber functionalization WEARABILITY Flexible electronics Conductive materials
分 类 号:TP212[自动化与计算机技术—检测技术与自动化装置] TQ342.83[自动化与计算机技术—控制科学与工程]
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