Identifications and classifications of human locomotion using Rayleigh-enhanced distributed fiber acoustic sensors with deep neural networks

This paper reports on the use of machine learning to delineate data harnessed by fiber-optic distributed acoustic sensors (DAS) using fiber with enhanced Rayleigh backscattering to recognize vibration events induced by human locomotion. The DAS used in this work is based on homodyne phase-sensitive...

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Detalles Bibliográficos
Autores principales: Peng, Zhaoqiang, Wen, Hongqiao, Jian, Jianan, Gribok, Andrei, Wang, Mohan, Huang, Sheng, Liu, Hu, Mao, Zhi-Hong, Chen, Kevin P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7713295/
https://www.ncbi.nlm.nih.gov/pubmed/33273503
http://dx.doi.org/10.1038/s41598-020-77147-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7713295/
https://www.ncbi.nlm.nih.gov/pubmed/33273503
http://dx.doi.org/10.1038/s41598-020-77147-2

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