11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services

Research Article

My Places Diary – Automatic Place and Transportation Mode Detection

Download612 downloads
  • @INPROCEEDINGS{10.4108/icst.mobiquitous.2014.257992,
        author={Anna Weber and Stefan Ladst\aa{}tter and Viktoria Pammer and Patrick Luley},
        title={My Places Diary -- Automatic Place and Transportation Mode Detection},
        proceedings={11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services},
        publisher={ICST},
        proceedings_a={MOBIQUITOUS},
        year={2014},
        month={11},
        keywords={location based services semantic place detection activity recognition transportation mode detection android},
        doi={10.4108/icst.mobiquitous.2014.257992}
    }
    
  • Anna Weber
    Stefan Ladstätter
    Viktoria Pammer
    Patrick Luley
    Year: 2014
    My Places Diary – Automatic Place and Transportation Mode Detection
    MOBIQUITOUS
    ICST
    DOI: 10.4108/icst.mobiquitous.2014.257992
Anna Weber1, Stefan Ladstätter1,*, Viktoria Pammer2, Patrick Luley1
  • 1: JOANNEUM RESEARCH
  • 2: Graz University of Technology and Know-Center
*Contact email: stefan.ladstaetter@joanneum.at

Abstract

My Places Diary is a research prototype, available on Google Play, that tracks places and movements of users throughout the day. It includes two innovative features: Firstly users’ home and workplaces are detected automatically, based on heuristics derived from earlier work on automatic semantic place detection. Additional place labels are provided via open geo data sources. The position is determined by using a low power positioning method while preserving sufficient accuracy for place detection. Secondly modes of transportation between places (walking, driving, biking) are derived based on Google’s activity recognition module. Combining these two features makes My Places Diary an automatically created diary of places and transitions between them. All computations are executed directly on the mobile phone.