• DocumentCode
    254899
  • Title

    Recognizing Subtle User Activities and Person Identity with Cheap Resistive Pressure Sensing Carpet

  • Author

    Jingyuan Cheng ; Sundholm, Mathias ; Bo Zhou ; Kreil, Matthias ; Lukowicz, Paul

  • Author_Institution
    German Res. Center for Artificial Intell. (DFKI), Kaiserslautern, Germany
  • fYear
    2014
  • fDate
    June 30 2014-July 4 2014
  • Firstpage
    148
  • Lastpage
    153
  • Abstract
    We demonstrate through a pressure sensor matrix, that weight distribution on feet is influenced by body posture. A small cheap carpet equipped with low precision pressure sensor matrix is already sufficient to detect subtle activities and identity of the person on the carpet. By a 0.4 m2 matrix of 32 × 32, 12 bit pressure sensors, we achieve 78.7% accuracy for 11 test subjects performing 7 subtle activities (open 7 different drawers or cabinet doors) and 88.6% accuracy in recognizing who has performed the activities. We thus see the potential of using a single carpet as a unified approach in houses to detect how inhabitants interact with the furniture without attaching different sensors onto each single furniture.
  • Keywords
    ambient intelligence; furniture; image motion analysis; image recognition; matrix algebra; pressure sensors; ambient intelligence; body posture; furniture; pressure sensing carpet; pressure sensor matrix; user activity recognition; weight distribution; Accuracy; Feature extraction; Field programmable gate arrays; Foot; Hardware; Noise; Sensors; activity recognition; ambient intelligence; pressure sensor;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Environments (IE), 2014 International Conference on
  • Conference_Location
    Shanghai
  • Type

    conf

  • DOI
    10.1109/IE.2014.29
  • Filename
    6910440