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Identifications and classifications of human locomotion using Rayleigh-enhanced distributed fiber acoustic sensors with deep neural networks.
Peng, Zhaoqiang; Wen, Hongqiao; Jian, Jianan; Gribok, Andrei; Wang, Mohan; Huang, Sheng; Liu, Hu; Mao, Zhi-Hong; Chen, Kevin P.
Affiliation
  • Peng Z; Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, 15260, USA.
  • Wen H; National Energy Technology Laboratory, Pittsburgh, 15236, USA.
  • Jian J; National Engineering Laboratory for Fiber Optic Sensing Technology, Wuhan University of Technology, Wuhan, 430070, China.
  • Gribok A; Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, 15260, USA.
  • Wang M; Idaho National Laboratory, Idaho Falls, 83415, USA.
  • Huang S; Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, 15260, USA.
  • Liu H; Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, 15260, USA.
  • Mao ZH; School of Instrument Science and Opto-electronic Engineering, Beihang University, Beijing, 10091, China.
  • Chen KP; Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, 15260, USA.
Sci Rep ; 10(1): 21014, 2020 12 03.
Article in En | MEDLINE | ID: mdl-33273503
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biometric Identification / Fiber Optic Technology / Machine Learning / Locomotion Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Sci Rep Year: 2020 Document type: Article Affiliation country: United States
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biometric Identification / Fiber Optic Technology / Machine Learning / Locomotion Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Sci Rep Year: 2020 Document type: Article Affiliation country: United States