Fiber-Optic Activity Monitoring with Machine Learning

Qihang Zeng, Wei Xu, Changyuan Yu, Na Zhang, Cheungchuen Yu

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

5 Citations (Scopus)

Abstract

Unobtrusive activity monitoring based on fiber-optic Mach-Zehnder interferometer is proposed, employing deep bi-directional long short-term memory network, realizing three activities recognition with accuracy of 99.2% and resolution of 0.5s.

Original languageEnglish
Title of host publication2018 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781943580453
DOIs
Publication statusPublished - 2 Jul 2018
Event2018 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2018 - Wanchai, Hong Kong
Duration: 29 Jul 20183 Aug 2018

Publication series

Name2018 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2018

Conference

Conference2018 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2018
Country/TerritoryHong Kong
CityWanchai
Period29/07/183/08/18

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics

Cite this