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LEARNING-BASED NOISE REDUCTION IN DATA PRODUCED BY A NETWORK OF SENSORS, SUCH AS ONE INCORPORATED INTO LOOSE-FITTING CLOTHING WORN BY A PERSON
LEARNING-BASED NOISE REDUCTION IN DATA PRODUCED BY A NETWORK OF SENSORS, SUCH AS ONE INCORPORATED INTO LOOSE-FITTING CLOTHING WORN BY A PERSON
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机译:传感器网络所产生的数据中基于学习的噪声减少,这种噪声减少是一个人所穿的衣服
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摘要
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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