Deep learning-enabled real-time personal handwriting electronic skin with dynamic thermoregulating ability  

作　　者：Shengxin Xiang Jiafeng Tang Lei Yang Yanjie Guo Zhibin Zhao Weiqiang Zhang 

机构地区：[1]Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System,Xi’an Jiaotong University,Xi’an 710049,China [2]School of Aerospace Science and Technology,Xidian University,Xi’an 710049,China

出　　处：《npj Flexible Electronics》2022年第1期621-631,共11页npj-柔性电子（英文）

基　　金：supported by the National Key Research and Development Program of China under Grant No.of 2018YFB1306100;the Fundamental Research Funds for the Central Universities;SEM facility of Instrument Analysis Center of Xi’an Jiaotong University。

摘　　要：The rapid rise of the Internet of things(IoT)have brought the progress of electronic skin(e-skin).E-skin is used to imitate or even surpass the functions of human skin.Thermoregulating is one of the crucial functions of human skin,it is significant to develop a universal way to realize e-skin thermoregulating.Here,inspired by the sweat gland structure in human skin,we report a simple method for achieving dynamic thermoregulating,attributing to the temperature of microencapsulated paraffin remains unchanged when phase change occurs.Combining with the principle of triboelectric nanogenerator,a deep learning model is employed to recognize the output signals of handwriting different letters on ME-skin,and the recognition accuracy reaches 98.13%.Finally,realtime recognition and display of handwritings are successfully implemented by the ME-skin,which provides a general solution for thermoregulating e-skin and application direction for e-skin in the field of IoT.

关 键 词：IoT DYNAMIC ELECTRONIC 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]