材料科学
纳米纤维
压电
可穿戴计算机
步态
纳米发生器
静电纺丝
大数据
纳米孔
生物识别
计算机科学
分析
纳米技术
人工智能
复合材料
嵌入式系统
聚合物
数据挖掘
生物
生理学
作者
Wei Cheng Lo,Chih Chia Chen,Yiin‐Kuen Fuh
标识
DOI:10.1002/admt.202000779
摘要
Abstract This study describes a new stacked structure with porous nanofiber‐based piezoelectric nanogenerator by near‐field electrospinning. The 3D‐stacked porous nanofibers structure enhances the stress concentration effect such that the PVDF‐TrFE nanofibers can promote higher performance in electrical output. By mimicking the additive manufacturing in near‐field electrospinning (NFES) setup, structurally simple and piezoelectrically effective fabrication is capable of converting stacked porous PVDF‐TrFE nanofiber into a high‐performance sensor. The electrical voltage output performance is enhanced more than 2.7 times compared with primitive PVDF‐TrFE nanofiber. Furthermore, a self‐powered foot pressure recognition statistical system and an individual gait biometrics system are developed to provide gait recognition and a new biometrics technology. A personal sequence gait piezoelectric signal recognition rate of 86% is achieved by deep learning BiLSTM model. Furthermore, besides expanding the application area of self‐powered system to smart wearable device monitoring, this work also stimulates the evolution of big data analytics in the intelligent medical industry.
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