Ultraelastic Yarns from Curcumin-Assisted ELD toward Wearable Human-Machine Interface Textiles

被引:67
|
作者
Zhu, Chuang [1 ]
Li, Ruohao [2 ]
Chen, Xue [3 ]
Chalmers, Evelyn [1 ]
Liu, Xiaoteng [3 ]
Wang, Yuqi [1 ]
Xu, Ben Bin [3 ]
Liu, Xuqing [1 ]
机构
[1] Univ Manchester, Sch Nat Sci, Dept Mat, Manchester M13 9PL, Lancs, England
[2] Univ Washington, Sch Sci Technol Engn & Math, Bothell, WA 98011 USA
[3] Northumbria Univ, Fac Engn & Environm, Dept Mech & Construct Engn, Newcastle Upon Tyne NE1 8ST, Tyne & Wear, England
基金
英国工程与自然科学研究理事会;
关键词
curcumin; electroless deposition; human– machine interfaces; textiles; wearable electronics; STRETCHABLE CONDUCTORS; CARBON NANOTUBES; MOTION SENSOR; STRAIN SENSOR; TRANSPARENT; FABRICATION; FIBERS; METALLIZATION; NANOPARTICLES; MULTISCALE;
D O I
10.1002/advs.202002009
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Intelligent human-machine interfaces (HMIs) integrated wearable electronics are essential to promote the Internet of Things (IoT). Herein, a curcumin-assisted electroless deposition technology is developed for the first time to achieve stretchable strain sensing yarns (SSSYs) with high conductivity (0.2 omega cm(-1)) and ultralight weight (1.5 mg cm(-1)). The isotropically deposited structural yarns can bear high uniaxial elongation (>>1100%) and still retain low resistivity after 5000 continuous stretching-releasing cycles under 50% strain. Apart from the high flexibility enabled by helical loaded structure, a precise strain sensing function can be facilitated under external forces with metal-coated conductive layers. Based on the mechanics analysis, the strain sensing responses are scaled with the dependences on structural variables and show good agreements with the experimental results. The application of interfacial enhanced yarns as wearable logic HMIs to remotely control the robotic hand and manipulate the color switching of light on the basis of gesture recognition is demonstrated. It is hoped that the SSSYs strategy can shed an extra light in future HMIs development and incoming IoT and artificial intelligence technologies.
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页数:9
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