每年專案
摘要
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.
原文 | ???core.languages.en_GB??? |
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文章編號 | 2000779 |
期刊 | Advanced Materials Technologies |
卷 | 6 |
發行號 | 4 |
DOIs | |
出版狀態 | 已出版 - 4月 2021 |
指紋
深入研究「3D Stacked Near-Field Electrospun Nanoporous PVDF-TrFE Nanofibers as Self-Powered Smart Sensing in Gait Big Data Analytics」主題。共同形成了獨特的指紋。專案
- 1 已完成
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結合仿生奈米結構與三維推疊奈米纖維製作壓電靜電混能式自供電感測器與量化數據深度學習演算法建置應用(生醫工程:中風病患步態監控、妥瑞氏患者智慧口罩及人機介面智慧鍵盤)(2/3)
1/08/20 → 31/07/21
研究計畫: Research