Article

Segmenting accelerometer data from daily life with unsupervised machine learning

2018-02-13

Abstract excerpt

<h4>Purpose:</h4> Accelerometers are increasingly used to obtain valuable descriptors of physical activity for health research. The cut-points approach to segment accelerometer data is widely used in physical activity research but requires resource expensive calibration studies and does not make it easy to explore the information that can be gained for a variety of raw data metrics. To address these limitations,...

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Literature Corpus work: 0be2c17a-e3e3-5a6f-96c3-529d3199ee2a
DOI: 10.1101/263046

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