On preserving statistical characteristics of accelerometry data using their empirical cumulative distribution

Abstract

The majority of activity recognition systems in wearable computing rely on a set of statistical measures, such as means and moments, extracted from short frames of continuous sensor measurements to perform recognition. These features implicitly quantify the distribution of data observed in each frame. However, feature selection remains challenging and… (More)
DOI: 10.1145/2493988.2494353

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