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Radio Tomographic Imaging for Ambient Assisted Living

  • Conference paper
Evaluating AAL Systems Through Competitive Benchmarking (EvAAL 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 362))

Abstract

Accurate localization of people in indoor and domestic environments is one of the key requirements for ambient assisted living (AAL) systems. This chapter describes how the received signal strength (RSS) measurements collected by a network of static radio transceivers can be used to localize people without requiring them to wear or carry any radio device. We describe a technique named radio tomographic imaging (RTI), which produces real-time images of the change in the radio propagation field of the monitored area caused by the presence of people. People’s locations are inferred from the estimated RTI images. We show results from a long-term deployment in a typical single floor, one bedroom apartment. In order to deal with the dynamic nature of the domestic environment, we introduce methods to make the RTI system self-calibrating. Experimental results show that the average localization error of the system is 0.23 m. Moreover, the system is capable of adapting to the changes in the indoor environment, achieving high localization accuracy over an extended period of time.

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Author information

Authors and Affiliations

  1. SPAN Lab, ECE Department, The University of Utah, 50 S. Central Campus Drive, Salt Lake City, UT, 84102, USA

    Maurizio Bocca & Neal Patwari

  2. Automation and Systems Technology Department, Aalto University, Otaniementie 17, 02150, Espoo, Finland

    Ossi Kaltiokallio

Authors
  1. Maurizio Bocca
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  2. Ossi Kaltiokallio
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  3. Neal Patwari
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Editor information

Editors and Affiliations

  1. Dipartimento di Informatica, Universita’ di Pisa, Largo B. Pontecorvo 3, 56127, Pisa, Italy

    Stefano Chessa

  2. Stuttgart University of Applied Sciences - HFT Stuttgart, Schellingstr. 24, D-70174, Stuttgart, Germany

    Stefan Knauth

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Bocca, M., Kaltiokallio, O., Patwari, N. (2013). Radio Tomographic Imaging for Ambient Assisted Living. In: Chessa, S., Knauth, S. (eds) Evaluating AAL Systems Through Competitive Benchmarking. EvAAL 2012. Communications in Computer and Information Science, vol 362. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37419-7_9

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  • DOI: https://doi.org/10.1007/978-3-642-37419-7_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37418-0

  • Online ISBN: 978-3-642-37419-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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