Unified Fingerprinting/Ranging Localization for e-Healthcare Systems

  • Javier PrietoEmail author
  • Juan F. De Paz
  • Gabriel Villarrubia
  • Javier Bajo
  • Juan M. Corchado
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 376)


Indoor localization constitutes one of the main pillars for the provision of context-aware services in e-Healthcare systems. Fingerprinting and ranging have traditionally been placed facing each other to meet the localization requirements. However, accurate fingerprinting may worth the exhaustive calibration effort in some critical areas while easy-to-deploy ranging can provide adequate accuracy for certain non-critical spaces. In this paper, we propose a framework and algorithm for seamless integration of both systems from the Bayesian perspective. We assessed the proposed framework with conventional WiFi devices in comparison to conventional implementations. The presented techniques exhibit a remarkable accuracy improvement while they avoid computationally exhaustive algorithms that impede real-time operation.


Bayesian data fusion Fingerprinting Ranging RSS 



This work has been supported by the Spanish Government through the project iHAS (grant TIN2012-36586-C01/C02/C03) and FEDER funds.


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Javier Prieto
    • 1
    Email author
  • Juan F. De Paz
    • 1
  • Gabriel Villarrubia
    • 1
  • Javier Bajo
    • 2
  • Juan M. Corchado
    • 1
  1. 1.BISITE Research GroupUniversity of SalamancaSalamancaSpain
  2. 2.Departamento de Inteligencia Artificial, Facultad de InformáticaUniversidad Politécnica de MadridMadridSpain

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