• DocumentCode
    604779
  • Title

    Human tracking and identification using a sensitive floor and wearable accelerometers

  • Author

    Sousa, M. ; Techmer, A. ; Steinhage, A. ; Lauterbach, C. ; Lukowicz, Paul

  • Author_Institution
    Future-Shape GmbH, Hoehenkirchen-Siegertsbrunn, Germany
  • fYear
    2013
  • fDate
    18-22 March 2013
  • Firstpage
    166
  • Lastpage
    171
  • Abstract
    We describe a method for user tracking and localization based on textile capacitive sensor arrays placed under the floor. The sensor array is a commercial product (SensFloor®) that can be installed under any standard floor type (from carpet to stone) and is able to detect objects (including the user´s foot) being placed on it. The challenges addressed in this paper are (1) how to map sequences of such signals onto user trajectories and (2) how to correlate the steps detected by the SensFloor system with the step detection based on a wearable accelerometer as means of user identification. Footstep detection is performed online on the devices, which are seamlessly integrated with the floor´s wireless sensor network. Initial experiments performed over a week in a real life office environment show the ability to track multiple humans and to identify up to three users walking in a narrow corridor at the same time.
  • Keywords
    accelerometers; capacitive sensors; wireless sensor networks; SensFloor system; commercial product; footstep detection; human identification; human tracking; sensitive floor; textile capacitive sensor arrays; user localization; user tracking; wearable accelerometers; wireless sensor network; Foot; Kalman filters; Legged locomotion; Position measurement; Timing; Tracking; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Communications (PerCom), 2013 IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4673-4573-6
  • Electronic_ISBN
    978-1-4673-4574-3
  • Type

    conf

  • DOI
    10.1109/PerCom.2013.6526728
  • Filename
    6526728