Real-Time Analysis of Localization Data Streams for Ambient Intelligence Environments

  • Dimokritos Stamatakis
  • Dimitris Grammenos
  • Kostas Magoutis
Conference paper

DOI: 10.1007/978-3-642-25167-2_10

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7040)
Cite this paper as:
Stamatakis D., Grammenos D., Magoutis K. (2011) Real-Time Analysis of Localization Data Streams for Ambient Intelligence Environments. In: Keyson D.V. et al. (eds) Ambient Intelligence. AmI 2011. Lecture Notes in Computer Science, vol 7040. Springer, Berlin, Heidelberg

Abstract

In this paper we describe a novel methodology for performing real-time analysis of localization data streams produced by sensors embedded in ambient intelligence (AmI) environments. The methodology aims to handle different types of real-time events, detect interesting behavior in sequences of such events, and calculate statistical information using a scalable stream-processing engine (SPE) that executes continuous queries expressed in a stream-oriented query language. Key contributions of our approach are the integration of the Borealis SPE into a large-scale interactive museum exhibit system that tracks visitor positions through a number of cameras; the extension and customization of Borealis to support the types of real-time analysis useful in the context of the museum exhibit as well as in other AmI applications; and the integration with a visualization component responsible for rendering events received by the SPE in a variety of human readable forms.

Keywords

Scalable stream processing location-tracking via cameras 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Dimokritos Stamatakis
    • 1
  • Dimitris Grammenos
    • 1
  • Kostas Magoutis
    • 1
  1. 1.Institute of Computer Science (ICS)Foundation for Research and Technology Hellas (FORTH)HeraklionGreece

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