Real-Time analysis of localization data streams for ambient intelligence environments

  • Authors:
  • Dimokritos Stamatakis;Dimitris Grammenos;Kostas Magoutis

  • Affiliations:
  • Institute of Computer Science (ICS), Foundation for Research and Technology Hellas (FORTH), Heraklion, Greece;Institute of Computer Science (ICS), Foundation for Research and Technology Hellas (FORTH), Heraklion, Greece;Institute of Computer Science (ICS), Foundation for Research and Technology Hellas (FORTH), Heraklion, Greece

  • Venue:
  • AmI'11 Proceedings of the Second international conference on Ambient Intelligence
  • Year:
  • 2011

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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.