• DocumentCode
    128343
  • Title

    LSI-REC: A Link State Indicator based gesture recognition scheme in a RFID system

  • Author

    Ye Sheng ; Hong Zeng ; Jin Fan ; Xizhe Wang

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Hangzhou Dianzi Univ., Hangzhou, China
  • fYear
    2014
  • fDate
    9-11 June 2014
  • Firstpage
    406
  • Lastpage
    411
  • Abstract
    This paper presents a novel gesture recognition scheme that utilizes RFID system to enable gesture recognition. The gesture feature of a certain object is captured by its shadow area in an arrayed RFID tags. We use the variance of counts of a tag being successfully read to represent the state of an obstructed link. The relative collection of tags determines the shape of an obstruction. We define a link state indicator (LSI) to indicate the signal changes caused by certain obstruction. In the proposed scheme, a gesture matrix is then introduced to represent gestures of a human being intuitively and fisher´s linear discriminant method is used to recognize gestures. The scheme achieves the goal of gesture recognition without requiring any additional instruments of a human body. We build an experimental system and evaluate the scheme through a group of experiments, the result shows that the scheme can identify and classify a set of twelve defined gestures with an average accuracy of 94%.
  • Keywords
    gesture recognition; matrix algebra; radiofrequency identification; LSI-REC; RFID system; RFID tags; fisher linear discriminant method; gesture feature; gesture matrix; gesture recognition scheme; human body; link state indicator; obstructed link; Antennas; Arrays; Data mining; Feature extraction; Gesture recognition; Large scale integration; Radiofrequency identification; Gesture recognition; LSI; RFID;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4799-4316-6
  • Type

    conf

  • DOI
    10.1109/ICIEA.2014.6931197
  • Filename
    6931197