Principle component analysis and random forest based all-fiber activity monitoring

Shuying Han, Wei Xu, Shanhong You, Bo Dong, Changyuan Yu, Wei Zhao

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

An activity monitoring algorithm based on principle component analysis and random forest is proposed, identifying three kinds of activities obtained from Mach-Zehnder interferometer with accuracy of 99.5% within one second, namely, normal, nobody and movement.

Original languageEnglish
Title of host publicationAsia Communications and Photonics Conference, ACPC_2019
PublisherOSA - The Optical Society
VolumeVolume: Part F138-ACPC 2019
ISBN (Electronic)9781557528209
Publication statusPublished - Nov 2019
EventAsia Communications and Photonics Conference, ACPC_2019 - Chengdu, Hong Kong
Duration: 2 Nov 20195 Nov 2019

Publication series

NameOptics InfoBase Conference Papers
VolumePart F138-ACPC 2019

Conference

ConferenceAsia Communications and Photonics Conference, ACPC_2019
Country/TerritoryHong Kong
CityChengdu
Period2/11/195/11/19

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Mechanics of Materials

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