• DocumentCode
    3656956
  • Title

    Improving indoor localization by user feedback

  • Author

    Lukas Köping;Marcin Grzegorzek;Frank Deinzer;Szymon Bobek;Mateusz Ślażyński;Grzegorz J. Nalepa

  • Author_Institution
    Research Group for Pattern Recognition, University of Siegen, Siegen, Germany
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    1053
  • Lastpage
    1060
  • Abstract
    In this paper we introduce a new method to incorporate the user as an additional information source for the purpose of indoor localization. Therefore, the user is interrogated about certain characteristics in his/her environment. The questions are generated by a knowledge-based system built on ontologies. We provide a new statistical model to evaluate the user´s answer and integrate it into the particle filter, which is used for the localization system. Our results show that the user´s feedback significantly improves localization results.
  • Keywords
    "Training","Mediation","Ontologies","Semantics","Vegetation","Electronic mail","Sensors"
  • Publisher
    ieee
  • Conference_Titel
    Information Fusion (Fusion), 2015 18th International Conference on
  • Type

    conf

  • Filename
    7266675
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3656956