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Indoor localization with passive sensors

  • Author / Creator
    Vosoughpour Yazdchi, Meisam
  • In this thesis, a framework is described that is designed to perform indoor localization in the Smart Condo (TM). A significant aspect of the framework is that it mainly operates on the basis of binary sensors - including motion sensors and occupancy sensors - and it primarily involves geometric computations. In addition, switch-type sensors have been incorporated. We have specifically designed and implemented a geometry library to facilitate the necessary computations, as well as a simulation tool to simulate the environment and its sensors. Compared to previous related research work, we adopt a more realistic environment model, as well as models for a person's body, and models for the sensors. In the experiments conducted, when the sensors are assumed to behave in an ideal fashion, we have achieved 67 cm and 49 cm as mean localization error for minimum coverage and dense coverage sensor configurations respectively. Under a more realistic sensor behavior model the corresponding numbers are 69 cm and 62 cm respectively.

  • Subjects / Keywords
  • Graduation date
    2013-06
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R35W58
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Computing Science
  • Supervisor / co-supervisor and their department(s)
    • Stroulia, Eleni (Computing Science)
  • Examining committee members and their departments
    • Wong, Ken (Computing Science)
    • Zhang, Hong (Computing Science)