Mobile Computing, Applications, and Services. 5th International Conference, MobiCASE 2013, Paris, France, November 7-8, 2013, Revised Selected Papers

Research Article

Fine-Grained Activity Recognition of Pedestrians Travelling by Subway

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  • @INPROCEEDINGS{10.1007/978-3-319-05452-0_10,
        author={Marco Maier and Florian Dorfmeister},
        title={Fine-Grained Activity Recognition of Pedestrians Travelling by Subway},
        proceedings={Mobile Computing, Applications, and Services. 5th International Conference, MobiCASE 2013, Paris, France, November 7-8, 2013, Revised Selected Papers},
        proceedings_a={MOBICASE},
        year={2014},
        month={6},
        keywords={Mode of Transport Recognition Mobile Phone Context Awareness Activity Recognition},
        doi={10.1007/978-3-319-05452-0_10}
    }
    
  • Marco Maier
    Florian Dorfmeister
    Year: 2014
    Fine-Grained Activity Recognition of Pedestrians Travelling by Subway
    MOBICASE
    Springer
    DOI: 10.1007/978-3-319-05452-0_10
Marco Maier1,*, Florian Dorfmeister1,*
  • 1: Ludwig-Maximilians-University Munich
*Contact email: marco.maier@ifi.lmu.de, florian.dorfmeister@ifi.lmu.de

Abstract

With the now widespread usage of increasingly powerful smartphones, pro-active, context-aware, and thereby unobstrusive applications have become possible. A user’s current activity is a primary piece of contextual information, and especially in urban areas, a user’s current mode of transport is an important part of her activity. A lot of research has been conducted on automatically recognizing different means of transport, but up to know, no attempt has been made to perform a fine-grained classification of different activities related to travelling by local public transport.