材料科学
纳米纤维
电极
压力传感器
光电子学
静电纺丝
纳米技术
膜
电介质
电容感应
复合材料
计算机科学
聚合物
机械工程
化学
遗传学
物理化学
生物
工程类
操作系统
作者
Dedong Guo,Shuheng Dong,Qingzhou Wang,Huixin Yu,Eun‐Seong Kim,Qing Xu,Ho‐Kun Sung,Zhao Yao,Yuanyue Li,Nam‐Young Kim
标识
DOI:10.1016/j.cej.2023.146464
摘要
The development of a highly sensitive and wide-range flexible pressure sensor is great significant to realize the practical applications in human–computer interaction, health monitoring, and motion detection. Here, a dielectric layer of nano-cracked polyvinyl pyrrolidone (PVP) hierarchical nanofiber membrane (HNM) was fabricated by sublimating BiI3 from an electrospun BiI3/PVP composite nanofiber membrane (NM) via one-step annealing process. The upper and lower electrodes of porous laser-induced graphene (LIG) were produced through the engraving process on polyimide (PI) substrates. Subsequently, a flexible capacitive pressure sensor was constructed by assembling the middle PVP HNM dielectric layer with upper and lower LIG electrodes, which demonstrates enhanced sensitivity and detection range for motion posture recognition. Experimental results indicate that compared with traditional PVP NM-based pressure sensor, the assembled sensor in this work exhibits 22 times higher sensitivity (at 2–100 kPa) and 4 times wider detection range (0–200 kPa). Additionally, the sensor boasts a fast response/recovery time of 29/41 ms, an exceptionally low detection limit of 2.7 Pa, and an outstanding stability of 3000 cycles. With the aid of a convolutional neural network (CNN) algorithm, a shooting posture recognition system was developed by multiple sensors to accurately identify (accuracy: 93.89 %) and guide the shooting postures of basketball players.
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