LEARNING-BASED NOISE REDUCTION IN DATA PRODUCED BY A NETWORK OF SENSORS, SUCH AS ONE INCORPORATED INTO LOOSE-FITTING CLOTHING WORN BY A PERSON

A facility for processing output from a network of mechanical sensors is described. The facility accesses time-series data outputted by the network of sensors. The facility applies to the accessed time-series data a trained autoencoder to obtain a version of the accessed time-series data in which no...

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Bibliographic Details
Main Authors Zarar, Shuayb M, TASHEV, Ivan Jelev
Format Patent
LanguageEnglish
Published 01.11.2018
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Summary:A facility for processing output from a network of mechanical sensors is described. The facility accesses time-series data outputted by the network of sensors. The facility applies to the accessed time-series data a trained autoencoder to obtain a version of the accessed time-series data in which noise present in the accessed time-series data is at least partially suppressed. The facility stores the obtained version of the accessed time-series data, such as in order to perform human activity recognition against the obtained version of the accessed time-series data.
Bibliography:Application Number: US201715582456