Discovering personal gazetteers: an interactive clustering approach
Proceedings of the 12th annual ACM international workshop on Geographic information systems
Mining user similarity based on location history
Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
Activity-aware map: identifying human daily activity pattern using mobile phone data
HBU'10 Proceedings of the First international conference on Human behavior understanding
Designing and developing interactive multimedia applications
Proceedings of the 19th Brazilian symposium on Multimedia and the web
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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 approach with the goal of providing meaningful visualizations to the users. The visualizations depart from common map based representations as time is the main variable that is considered. Routines are represented through time based variables such as duration and frequency (for a given place or set of places) and a glimpse of the future is also provided considering what happened in the past. The demonstration presents the current version of the mobile application and desktop based tools used to extract information or prototype additional visualizations.