Synergistic piezoelectricity enhanced BaTiO3/polyacrylonitrile elastomer-based highly sensitive pressure sensor for intelligent sensing and posture recognition applications

材料科学 电子皮肤 压力传感器 聚丙烯腈 灵敏度(控制系统) 弹性体 计算机科学 压电 纳米技术 电子工程 机械工程 工程类 聚合物 复合材料
作者
Junbin Yu,Shuai Xian,Zhenpeng Zhang,Xiaojuan Hou,Jian He,Jiliang Mu,Wenping Geng,Xiaojun Qiao,Le Zhang,Xiujian Chou
出处
期刊:Nano Research [Springer Science+Business Media]
卷期号:16 (4): 5490-5502 被引量:138
标识
DOI:10.1007/s12274-022-5084-x
摘要

Designing stretchable and skin-conformal self-powered sensors for intelligent sensing and posture recognition is challenging. Here, based on a multi-force mixing and vulcanization process, as well as synergistically piezoelectricity of BaTiO3 and polyacrylonitrile, an all-in-one, stretchable, and self-powered elastomer-based piezo-pressure sensor (ASPS) with high sensitivity is reported. The 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 response. All components were fabricated using silicone, affording satisfactory skin-conformality for sensing postures. Through cooperation with a homemade circuit and artificial intelligence algorithm, an information processing strategy was proposed to realize intelligent sensing and recognition. The 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.
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