TY - GEN
T1 - Fiber-Optic Activity Monitoring with Machine Learning
AU - Zeng, Qihang
AU - Xu, Wei
AU - Yu, Changyuan
AU - Zhang, Na
AU - Yu, Cheungchuen
PY - 2018/7/2
Y1 - 2018/7/2
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85065605238&partnerID=8YFLogxK
U2 - 10.1364/cleopr.2018.w4k.5
DO - 10.1364/cleopr.2018.w4k.5
M3 - Conference article published in proceeding or book
AN - SCOPUS:85065605238
T3 - 2018 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2018
BT - 2018 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 Conference on Lasers and Electro-Optics Pacific Rim, CLEO-PR 2018
Y2 - 29 July 2018 through 3 August 2018
ER -