• DocumentCode
    2604040
  • Title

    Accelerometer-based swinging gesture detection for an electronic handbell

  • Author

    Kasun, Liyanaarachchi Lekamalage Chamara ; Goh, Wooi-Boon

  • Author_Institution
    Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • fYear
    2011
  • fDate
    14-17 June 2011
  • Firstpage
    272
  • Lastpage
    277
  • Abstract
    This paper tackles the problem of detecting the swinging action of an electronic handbell. It describes a threshold-based algorithm that is able to detect an orientation-free swinging motion using only the X and Y axis signals of an accelerometer that is mounted at the end of a handle. Equations governing the accelerations of the accelerometer are defined. The equations are used to select the appropriate accelerometer axis for swing motion detection, which were X axis and Y axis. The characteristics of the swing motion are identified empirically and incorporated to the swing detection algorithm. The experimental results for swinging motion performed by 4 users on the electronic bell show that the accuracy of swing motion detection is 95.3%.
  • Keywords
    accelerometers; audio signal processing; gesture recognition; accelerometer; electronic handbell; orientation-free swinging motion; swing motion detection; swinging gesture detection; threshold-based algorithm; Acceleration; Accelerometers; Accuracy; Equations; Gesture recognition; Hidden Markov models; Noise;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics (ISCE), 2011 IEEE 15th International Symposium on
  • Conference_Location
    Singapore
  • ISSN
    0747-668X
  • Print_ISBN
    978-1-61284-843-3
  • Type

    conf

  • DOI
    10.1109/ISCE.2011.5973831
  • Filename
    5973831