• DocumentCode
    2503534
  • Title

    Indoor localization using pedestrian dead reckoning updated with RFID-based fiducials

  • Author

    House, S. ; Connell, Sean ; Milligan, Ian ; Austin, Daniel ; Hayes, Tamara L. ; Chiang, Patrick

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Oregon State Univ., Corvallis, OR, USA
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    7598
  • Lastpage
    7601
  • Abstract
    We describe a low-cost wearable system that tracks the location of individuals indoors using commonly available inertial navigation sensors fused with radio frequency identification (RFID) tags placed around the smart environment. While conventional pedestrian dead reckoning (PDR) calculated with an inertial measurement unit (IMU) is susceptible to sensor drift inaccuracies, the proposed wearable prototype fuses the drift-sensitive IMU with a RFID tag reader. Passive RFID tags placed throughout the smart-building then act as fiducial markers that update the physical locations of each user, thereby correcting positional errors and sensor inaccuracy. Experimental measurements taken for a 55 m × 20 m 2D floor space indicate an over 1200% improvement in average error rate of the proposed RFID-fused system over dead reckoning alone.
  • Keywords
    biomedical equipment; biomedical measurement; indoor radio; inertial navigation; radiofrequency identification; sensors; RFID tag reader; RFID-based fiducials; RFID-fused system; drift-sensitive IMU; indoor localization; inertial measurement unit; inertial navigation sensors; pedestrian dead reckoning; radiofrequency identification tags; smart environment; wearable prototype; wearable system; Accelerometers; Conferences; Dead reckoning; Electronic mail; Passive RFID tags; Fiducial Markers; Humans; Radio Frequency Identification Device; Walking; Wireless Technology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6091873
  • Filename
    6091873