Challenge of Detecting Personal Deviations and Trends in Sensor Based Activity Data
Miriam Lingg,
Chantal Beutter,
Stefan Sigle
et al.
Abstract:Introduction: Physical activity and health are closely linked. Therefore, monitoring movement behavior is of great interest e.g., to monitor a patient’s physical state. Nowadays it is easy to record movement with a smartphone. The aim of this work was to develop a concept to detect trends based on personalized movement behavior recorded with a smartphone. Methods: A first prototype with a control chart was designed. Since this approach did not prove suitable for analyzing activity data for trends in practice, … Show more
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