Skip to main content

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

  • Conference paper
Ambient Intelligence (AmI 2011)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7040))

Included in the following conference series:

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Zabulis, X., Grammenos, D., Sarmis, T., Tzevanidis, K., Argyros, A.A.: Exploration of Large-scale Museum Artifacts through Non-instrumented, Location-based, Multi-user Interaction. In: Proc. of VAST 2010, Paris, France, September 21-24 (2010)

    Google Scholar 

  2. Carney, D., et al.: Monitoring Streams: A New Class of Data Management Applications. In: Proc. of the 28th VLDB, Hong Kong, China (August 2002)

    Google Scholar 

  3. Ahmad, Y., et al.: Distributed Operation in the Borealis Stream Processing Engine. In: Proc. of the 2005 SIGMOD, Baltimore, MD (June 2005)

    Google Scholar 

  4. Sebepou, Z., Magoutis, K.: CEC: Continuous Eventual Checkpointing for Data Stream Processing Operators. In: Proc. of 41st IEEE/IFIP DSN, Hong Kong, China (June 2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Stamatakis, D., Grammenos, D., Magoutis, K. (2011). Real-Time Analysis of Localization Data Streams for Ambient Intelligence Environments. In: Keyson, D.V., et al. Ambient Intelligence. AmI 2011. Lecture Notes in Computer Science, vol 7040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25167-2_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-25167-2_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25166-5

  • Online ISBN: 978-3-642-25167-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics