Resource-Aware On-line RFID Localization Using Proximity Data

  • Christoph Scholz
  • Stephan Doerfel
  • Martin Atzmueller
  • Andreas Hotho
  • Gerd Stumme
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6913)


This paper focuses on resource-aware and cost-effective indoor-localization at room-level using RFID technology. In addition to the tracking information of people wearing active RFID tags, we also include information about their proximity contacts. We present an evaluation using real-world data collected during a conference: We complement state-of-the-art machine learning approaches with strategies utilizing the proximity data in order to improve a core localization technique further.


Support Vector Machine Global Position System Receive Signal Strength Proximity Data Receive Signal Strength 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Christoph Scholz
    • 1
  • Stephan Doerfel
    • 1
  • Martin Atzmueller
    • 1
  • Andreas Hotho
    • 2
  • Gerd Stumme
    • 1
  1. 1.Knowledge & Data Engineering GroupUniversity of KasselKasselGermany
  2. 2.Data Mining and Information Retrieval GroupUniversity of WürzburgWürzburgGermany

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