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This demonstration presents work done in the TimeMachine project with the goal to explore patterns in everyday life using a mobile application. This mobile application captures GPS data and uses this information to provide a subjective map of the user behavior using several visualizations. The project resorts to a rigorous data capture and processing(More)
The paper presents contributions in the area of location data processing for pattern discovery. This work forms part of a project which explores an ambient intelligence application designed to present individual users with an overview of their time usage patterns. The application uses location data to build interfaces and visualizations which highlight(More)
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