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SALT: Source-Agnostic Localization Technique Based on Context Data from Binary Sensor Networks

  • Filippo PalumboEmail author
  • Paolo Barsocchi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8850)

Abstract

Localization is a key component for many AAL systems, since the user position can be used for detecting user’s activities and activating devices. While for outdoor scenarios Global Positioning System (GPS) constitutes a reliable and easily available technology, in indoor scenarios, in particular in real homes, GPS is largely unavailable. For this reason, several systems have been proposed for indoor localization. Recently, several algorithms fuse information coming from different sources in order to improve the overall accuracy in monitoring user activities. In this paper we propose a Source-Agnostic Localization Technique, called SALT, that fuses the information (coordinates) provided by a localization system with the information coming from the binary sensor network deployed within the environment. In order to evaluate the proposed framework, we tested our solution by using a previous developed heterogeneous localization systems presented at the international competition EvAAL 2013.

Keywords

Indoor Localization Binary Sensor Network Sensor Fusion Ambient Assisted Living 

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Notes

Acknowledgments

This work was supported by the EU Commission in the framework of the GiraffPlus FP7 project (Contract no. 288173).

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Information Science and Technologies InstituteNational Research Council of ItalyPisaItaly
  2. 2.Department of Computer ScienceUniversity of PisaPisaItaly

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