TY - GEN
T1 - Principle component analysis and random forest based all-fiber activity monitoring
AU - Han, Shuying
AU - Xu, Wei
AU - You, Shanhong
AU - Dong, Bo
AU - Yu, Changyuan
AU - Zhao, Wei
PY - 2019/11
Y1 - 2019/11
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85084446690&partnerID=8YFLogxK
M3 - Conference article published in proceeding or book
AN - SCOPUS:85084446690
VL - Volume: Part F138-ACPC 2019
T3 - Optics InfoBase Conference Papers
BT - Asia Communications and Photonics Conference, ACPC_2019
PB - OSA - The Optical Society
T2 - Asia Communications and Photonics Conference, ACPC_2019
Y2 - 2 November 2019 through 5 November 2019
ER -