3D Stacked Near-Field Electrospun Nanoporous PVDF-TrFE Nanofibers as Self-Powered Smart Sensing in Gait Big Data Analytics

Wei Cheng Lo, Chih Chia Chen, Yiin Kuen Fuh

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

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.

Original languageEnglish
Article number2000779
JournalAdvanced Materials Technologies
Volume6
Issue number4
DOIs
StatePublished - Apr 2021

Keywords

  • additive manufacturing
  • biometrics
  • deep learning
  • foot pressure recognition
  • near-field electrospinning
  • smart mat
  • stacked porous PVDF-TrFE nanofibers PENG

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