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.
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。
- 1 已完成
1/08/20 → 31/07/21