Adaptive On-Device Location Recognition

  • Kari Laasonen
  • Mika Raento
  • Hannu Toivonen
Conference paper

DOI: 10.1007/978-3-540-24646-6_21

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3001)
Cite this paper as:
Laasonen K., Raento M., Toivonen H. (2004) Adaptive On-Device Location Recognition. In: Ferscha A., Mattern F. (eds) Pervasive Computing. Pervasive 2004. Lecture Notes in Computer Science, vol 3001. Springer, Berlin, Heidelberg

Abstract

Location-awareness is useful for mobile and pervasive computing. We present a novel adaptive framework for recognizing personally important locations in cellular networks, implementable on a mobile device and usable, e.g., in a presence service. In comparison, most previous work has used service infrastructure for location recognition and the few adaptive frameworks presented have used coordinate-based data. We construct a conceptual framework for the tasks of learning important locations and predicting the next location. We give algorithms for efficient approximation of the ideal concepts, and evaluate them experimentally with real data.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Kari Laasonen
    • 1
  • Mika Raento
    • 1
  • Hannu Toivonen
    • 1
  1. 1.Basic Research Unit, Helsinki Institute for Information Technology, Department of Computer ScienceUniversity of Helsinki 

Personalised recommendations