• DocumentCode
    2123751
  • Title

    Gesture recognition of head motion using range images

  • Author

    Umeda, Kazunori ; Suzuki, Norihito

  • Author_Institution
    Fac. of Sci. & Eng., Chuo Univ., Tokyo, Japan
  • Volume
    3
  • fYear
    1996
  • fDate
    4-8 Nov 1996
  • Firstpage
    1594
  • Abstract
    Gesture recognition using images is recently studied as a technology of human friendly man-machine interface. In this paper recognition of 3D gesture by using range images is discussed. Two methods for recognizing head motion from a sequence of range images are proposed One method uses differential range images. Vertically/horizontally weighted averages of the difference values are utilized and `Yes´ motion is robustly identified. The other method detects and tracks nose position. `Yes´/`No´ motions are identified by the vertical/horizontal amplitude of vibration. Experiments to recognize a person´s gesture using a range sensor system are performed to show the effectiveness of the methods
  • Keywords
    image recognition; image sequences; motion estimation; user interfaces; 3D gesture; differential range images; gesture recognition; head motion; horizontally weighted averages; human friendly man-machine interface; nose position; range image sequence; range images; vertically weighted averages; vibration amplitude; Costs; Data mining; Feature extraction; Humans; Image recognition; Magnetic heads; Nose; Robot sensing systems; Target recognition; User interfaces;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems '96, IROS 96, Proceedings of the 1996 IEEE/RSJ International Conference on
  • Conference_Location
    Osaka
  • Print_ISBN
    0-7803-3213-X
  • Type

    conf

  • DOI
    10.1109/IROS.1996.569025
  • Filename
    569025