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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Main Authors | , |
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Format | Patent |
Language | English |
Published |
01.11.2018
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Subjects | |
Online Access | Get full text |
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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. |
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Bibliography: | Application Number: US201715582456 |