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Near–hysteresis-free soft tactile electronic skins for wearables and reliable machine learning
Author(s) -
Haicheng Yao,
Weidong Yang,
Wen Cheng,
Yu Tan,
Hian Hian See,
Si Li,
Hashina Parveen Anwar Ali,
Brian Z. H. Lim,
Zhuangjian Liu,
Benjamin C. K. Tee
Publication year - 2020
Publication title -
proceedings of the national academy of sciences
Language(s) - English
Resource type - Journals
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.2010989117
Subject(s) - piezoresistive effect , materials science , hysteresis , tactile sensor , wearable computer , elastomer , nanoscopic scale , acoustics , deformation (meteorology) , computer science , nanotechnology , composite material , mechanical engineering , robot , artificial intelligence , engineering , embedded system , physics , quantum mechanics
Significance We show a near–hysteresis-free piezoresistive sensor system from soft materials by using a method of generating unique three-dimensional nanoscale crack morphologies on metal-coated elastomeric microstructures. Our method addresses the major challenge of inherent electromechanical hysteresis faced by many electronic sensor skins using soft materials when large compressive pressures are applied. Piezoresistive sensors made from our flexible composite material track deformation with <3% hysteresis and can be reliably used as a healthcare wearable device for measuring pulse wave velocity on a small skin patch. We also showed that the low hysteresis enabled accurate and reliable single-touch classification of surface textures on textile surfaces for robotic applications.

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