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Wu et al. Soft Sci 2023;3:35                                              Soft Science
               DOI: 10.20517/ss.2023.26



               Research Article                                                              Open Access



               Liquid metal-based strain-sensing glove for human-

               machine interaction


                                                                                          1
                                                                                1
                                                                                                        1
                                                                   1,2
                                                           1
               Pengcheng Wu 1,#   , Chun Ki Yiu 1,2,# , Xingcan Huang , Jiyu Li , Guoqiang Xu , Yuyu Gao , Kuanming Yao ,
                                                              1,2
                                        1
                         1
                                                    1
               Lung Chow , Guangyao Zhao , Yawen Yang , Yanli Jiao , Xinge Yu 1,2,*
               1
                Department of Biomedical Engineering, City University of Hong Kong, Hong Kong 999077, Hong Kong, China.
               2
                Hong Kong Center for Cerebro-Cardiovascular Health Engineering, Hong Kong 999077, Hong Kong, China.
               #
                Authors contributed equally.
               * Correspondence to: Prof. Xinge Yu, Department of Biomedical Engineering, City University of Hong Kong, 83 Tat Chee
               Avenue, Kowloon Tong, Hong Kong 999077, Hong Kong, China. E-mail: xingeyu@cityu.edu.hk
               How to cite this article: Wu P, Yiu CK, Huang X, Li J, Xu G, Gao Y, Yao K, Chow L, Zhao G, Yang Y, Jiao Y, Yu X. Liquid metal-
               based strain-sensing glove for human-machine interaction. Soft Sci 2023;3:35. https://dx.doi.org/10.20517/ss.2023.26
               Received: 7 Jun 2023  First Decision: 27 Jun 2023  Revised: 22 Jul 2023   Accepted: 31 Jul 2023  Published: 14 Oct 2023
               Academic Editor: Zhifeng Ren  Copy Editor: Lin He  Production Editor: Dong-Li Li
               Abstract
               Soft and stretchable strain sensors have aroused great interest in research and engineering fields due to their
               promising application potential in many areas, including human-machine interface and healthcare monitoring.
               However, developing stable, strain-sensitive, and fatigue-resistant wearable strain sensors remains challenging.
               Herein, we report a low-cost strain-sensing glove based on a commercial nitrile glove and liquid metal as both
               sensing units and circuit/interconnects, with excellent response to strains and great stability in long-term use. The
               liquid metal sensing circuit is prepared by scraping the liquid metal slurry in situ on glove fingers, followed by soft
               silicone encapsulation. The whole process does not involve toxic chemicals, so no strict requirements on the
               operating environment are necessary. The strain-sensing glove is capable of real-time monitoring of finger gestures
               in a very sensitive and accurate way, which exhibits great application potential as a soft controller in manipulating
               the machine hand to achieve related human-machine interaction.

               Keywords: Liquid metal, strain sensor, human-machine interaction, flexible electronics




               INTRODUCTION
               With the rapid progress of materials and devices in flexible electronics, wearable electronics are attracting
               more and more research interests in many fields , such as healthcare , sports monitoring , and human-
                                                                          [6,7]
                                                                                            [8,9]
                                                        [1-5]



                           © The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0
                           International License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, sharing,
                           adaptation, distribution and reproduction in any medium or format, for any purpose, even commercially, as
               long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and
               indicate if changes were made.

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