Mobile Habits: Inferring and Predicting User Activities with a Location-Aware Smartphone

  • Andrei Papliatseyeu
  • Oscar Mayora
Conference paper
Part of the Advances in Soft Computing book series (AINSC, volume 51)

Summary

In this paper we present a work in progress dedicated to the recognition and prediction of mobile user activities. In contrast with related projects that generally use GPS for localization, we employ a fusion of wireless positioning methods available in current smartphones (GPS, GSM, Wi-Fi). Our positioning system offers high availability and accuracy without dedicated calibration. We demonstrate how such a positioning information can improve place extraction algorithms and enable the recognition of the new types of user activities both indoors and outdoors. Besides that, the project addresses a number of open challenges in activity and place prediction, such as detection of behaviour changes, prediction of unseen places.

Keywords

activity recognition behaviour prediction location awareness 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Andrei Papliatseyeu
    • 1
  • Oscar Mayora
    • 2
  1. 1.University of Trento 
  2. 2.Create-Net 

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