• DocumentCode
    3221953
  • Title

    Coping with hand-hand overlapping in bimanual movements

  • Author

    Saeed, Anwar ; Niese, Robert ; Al-Hamadi, Ayoub ; Michaelis, Bernd

  • Author_Institution
    Inst. for Electron., Signal Process. & Commun. (IESK), Otto-von-Guericke-Univ. Magdeburg, Magdeburg, Germany
  • fYear
    2011
  • fDate
    16-18 Nov. 2011
  • Firstpage
    238
  • Lastpage
    243
  • Abstract
    Hand gesture recognition plays a major role in the Human Computer Interaction (HCI), since it could be employed in many applications as a communication language. Nearly all hand gestures used in HCI are created using one hand; while other applications use gestures produced by two hands as long as both hands do not cross each other. This constraint in the bimanual gestures is due to the difficulties in reacquiring both hands correctly at the end of the hand-hand occlusion, which is addressed in this paper. Two policies, in analogy to the greedy and Hungarian algorithms, are used to solve the data association issue at the end of the hand-hand occlusion period given that the appearance of both hands does not change entirely during the overlapping period.
  • Keywords
    computer graphics; gesture recognition; greedy algorithms; human computer interaction; sensor fusion; HCI; Hungarian algorithm; bimanual gesture; bimanual movement; communication language; data association; greedy algorithm; hand gesture recognition; hand-hand occlusion; hand-hand overlapping; human computer interaction; Conferences; Feature extraction; Image color analysis; Shape; Silicon; Skin; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal and Image Processing Applications (ICSIPA), 2011 IEEE International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4577-0243-3
  • Type

    conf

  • DOI
    10.1109/ICSIPA.2011.6144134
  • Filename
    6144134