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User Location Modeling Based on Heterogeneous Data Sources

  • Patrick Gottschaemmer
  • Tobias Grosse-PuppendahlEmail author
  • Arjan Kuijper
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9189)

Abstract

Over the past decade, interest in home automation systems constantly grew. This yields especially for daily life - considering the connection of intelligent everyday devices through the Internet of Things. To allow automatic actions on these devices, user localization systems have become a major input modality for smart home systems. The location of a user (or rather a subject) can be determined by different localization techniques, such as sensitive floor systems, discrete activity sensors like light switches or RSSI-based WLAN/Bluetooth beacons (e.g. smartphones). These heterogeneous data sources provide various means of user location certainty, the ability to identify a user or the ability to recognize multiple subjects in the same location. In order to achieve a higher grade of accuracy, multiple data sources can be combined by location fusioning algorithms. However, to allow the integration of such algorithms on a hardware independent basis, a commmon user location model is needed, which can represent all important aspects of these localization techniques. This paper investigates the concepts of existing user localization systems and develops a new model to represent the location of subjects based on already existing location models. An implementation is provided based on Eclipse SmartHome, an open-source building automation framework.

Keywords

Location modeling User location Location fusion 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Patrick Gottschaemmer
    • 1
  • Tobias Grosse-Puppendahl
    • 1
    Email author
  • Arjan Kuijper
    • 1
    • 2
  1. 1.Fraunhofer IGDDarmstadtGermany
  2. 2.Technische Universität DarmstadtDarmstadtGermany

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