Low hysteresis, water retention, anti-freeze multifunctional hydrogel strain sensor for human-machine interfacing and real-time sign language translation

被引:16
|
作者
Zhou, Lijuan [1 ]
Zhao, Bin [2 ]
Liang, Jingye [1 ]
Lu, Fangying [1 ]
Yang, Weiping [1 ]
Xu, Jishuai [1 ]
Zheng, Jingxuan [1 ]
Liu, Yong [1 ]
Wang, Run [1 ]
Liu, Zunfeng [3 ]
机构
[1] Tiangong Univ, Sch Text Sci & Engn, 399 West Binshui Rd, Tianjin 300387, Peoples R China
[2] Guangxi Coll Univ Key Lab AI Algorithm Engn, Guangxi Coll & Univ Key Lab AI Algorithm Engn, Sch Artificial Intelligence, Guilin 541004, Guangxi, Peoples R China
[3] Nankai Univ, Frontiers Sci Ctr New Organ Matter, State Key Lab Med Chem Biol, Key Lab Funct Polymer Mat,Coll Chem, Tianjin 300071, Peoples R China
基金
中国国家自然科学基金;
关键词
Compendex;
D O I
10.1039/d4mh00126e
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Hydrogel strain sensors have received increasing attention due to their potential applications in human-machine interfaces and flexible electronics. However, they usually suffer from both mechanical and electrical hysteresis and poor water retention, which limit their practical applications. To address this challenge, a poly(acrylic acid-co-acrylamide) hydrogel crosslinked by silica nanoparticles is fabricated via photo polymerization and salting-out of hydrophilic ions for the strain sensor. The resulting hydrogel strain sensor possessed low electrical hysteresis (1.6%), low mechanical hysteresis (<7%), high cycle stability (>10 000 cycles), high durability, water retention and anti-freezing ability. Moreover, this strain sensor can be used as a wearable sensor for real-time control of robotic hands and hand gesture recognition. Finally, a sign language translation system has been demonstrated with the aid of machine learning, achieving recognition rates of over 98% for 15 different sign languages. This work offers a promising prospect for human-machine interfaces, smart wearable devices, and the Internet of Things.
引用
收藏
页码:3856 / 3866
页数:11
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