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05 June 2018

Accelerometers are frequently used to measure physical activity in large observational studies. Typical accelerometry data include activity counts or the step counts. However, such measures use only a fraction of the information contained in the raw accelerometry data. In my talk, I will overview the state-of-the-art methods and present our recent work on the classification of sitting and standing activities as well as on the classification of walking and stair-climbing. Issues discussed will include derivation of the meaningful features from the raw data (e.g. walking cadence), efficient computation on large datasets and association of physical activity measures with health outcomes.  

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