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. 2020 Jul 1;10:211. doi: 10.1038/s41398-020-00893-4

Fig. 1. Overview experiments and utilization of the samples.

Fig. 1

a Sample 1 is used to develop and evaluate the preprocessing procedure used to contextualize raw location data collected by smartphones. b Samples 2 and 3 are used to validate the sensitivity of the derived behavioral readouts in detecting sample specific deviations of behavior. c Visualization of preprocessing procedure used to derive context-enriched location data. The raw location data (left figure) contains limited behavioral information and requires preprocessing to extract contextual information. Location data plotted over time combined with contextual information as derived by the preprocessing procedure (right figure). In this figure we can easily identify several stay points with repeated visits over time, the home location and travel patterns. This information is used to derive behavioral phenotypes such as the number of places visited (red and green), amount of home stay (blue) and the frequency of traveling (gray).