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Fiber-optic Activity Monitoring with Machine Learning

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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.

© 2018 The Author(s)

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