每年專案
摘要
Near-field electrospinning (NFES) is a site addressable microfabrication process and is utilized to deposit the micro/nano polyvinylidene fluoride (PVDF) fibers arrays on printed circuit board nanofiber-based based piezoelectric sensor architectures. In addition, a biomimetic and flexible hybrid self-powered sensors (BHSS) was created by hybridizing both Cu - biomimetic Polydimethylsiloxane triboelectric sensors to enhance the energy-harvesting characteristic. The optimized BHSS had open-circuit voltage (VOC) of 15 V and 115 nA of short-circuit current (ISC) and a maximum average power density is 675 μW m−2 with a load of 10 MΩ. Furthermore, an intelligent glove and the force sensor with are successively confirmed that the developed BHSS has promising applications in wearable self-power sensor technology. The machine learning algorithm of Long Short-Term Memory (LSTM) in the context of gesture recognition was used and effectively distinguish five human actions satisfactorily. LSTM based real-time electrical signals of five gestures dataset with varying duration and complexity can achieve an overall classification rate of 82.3%.
原文 | ???core.languages.en_GB??? |
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文章編號 | 105029 |
期刊 | Nano Energy |
卷 | 76 |
DOIs | |
出版狀態 | 已出版 - 10月 2020 |
指紋
深入研究「Biomimetic and porous nanofiber-based hybrid sensor for multifunctional pressure sensing and human gesture identification via deep learning method」主題。共同形成了獨特的指紋。專案
- 2 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
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