Synergistic piezoelectricity enhanced BaTiO_(3)/polyacrylonitrile elastomer-based highly sensitive pressure sensor for intelligent sensing and posture recognition applications
作者机构:Science and Technology on Electronic Test and Measurement LaboratoryNorth University of ChinaTaiyuan 030051China
出 版 物:《Nano Research》 (纳米研究(英文版))
年 卷 期:2023年第16卷第4期
页 面:5490-5502页
核心收录:
学科分类:080202[工学-机械电子工程] 08[工学] 0802[工学-机械工程]
基 金:supported by the National Natural Science Foundation of China(Nos.62101513,51975542,52175554,and 62171414) China Postdoctoral Science Foundation(Nos.2022TQ0230 and 2022M712324) Shanxi“1331 Project”Key Subject Construction(No.1331KSC) the Fundamental Research Program of Shanxi Province(No.20210302124170) Young Academic Leaders of North University of China(No.11045501)
主 题:flexible pressure sensor synergistic piezoelectricity all-in-one structure high sensitivity intelligent sensing and recognition
摘 要:Designing stretchable and skin-conformal self-powered sensors for intelligent sensing and posture recognition is ***,based on a multi-force mixing and vulcanization process,as well as synergistically piezoelectricity of BaTiO_(3)and polyacrylonitrile,an all-in-one,stretchable,and self-powered elastomer-based piezo-pressure sensor(ASPS)with high sensitivity is *** ASPS presents excellent sensitivity(0.93 V/104 Pa of voltage and 4.92 nA/104 Pa of current at a pressure of 10-200 kPa)and high durability(over 10,000 cycles).Moreover,the ASPS exhibits a wide measurement range,good linearity,rapid response time,and stable frequency *** components were fabricated using silicone,affording satisfactory skinconformality for sensing *** cooperation with a homemade circuit and artificial intelligence algorithm,an information processing strategy was proposed to realize intelligent sensing and *** home-made circuit achieves the acquisition and wireless transmission of ASPS signals(transmission distance up to 50 m),and the algorithm realizes the classification and identification of ASPS signals(accuracy up to 99.5%).This study proposes not only a novel fabrication method for developing self-powered sensors,but also a new information processing strategy for intelligent sensing and recognition,which offers significant application potential in human-machine interaction,physiological analysis,and medical research.