• DocumentCode
    1494220
  • Title

    Hand modeling, analysis and recognition

  • Author

    Wu, Ying ; Huang, Thomas S.

  • Volume
    18
  • Issue
    3
  • fYear
    2001
  • fDate
    5/1/2001 12:00:00 AM
  • Firstpage
    51
  • Lastpage
    60
  • Abstract
    Analyzing hand gestures is a comprehensive task involving motion modeling, motion analysis, pattern recognition, machine learning and even psycholinguistic studies. A comprehensive review of various techniques in hand modeling, analysis, and recognition is needed. Due to the multidisciplinary nature of this research topic, we cannot include all the works in the literature. Rather than function as a thorough review paper, this article serves as a tutorial to this research topic. We study 3-D hand models, various articulated motion analysis methods, and gesture recognition techniques employed in current research. We conclude with some thoughts about future research directions. We also include some of our own research results, some of which are shown as examples
  • Keywords
    gesture recognition; image motion analysis; learning (artificial intelligence); pattern recognition; virtual reality; 3D hand models; 3D virtual environment; articulated motion analysis methods; gesture recognition; hand analysis; hand modeling; hand recognition; machine learning; motion analysis; motion modeling; pattern recognition; psycholinguistic studies; research; tutorial; Fingers; Handicapped aids; Human computer interaction; Joining processes; Keyboards; Magnetic devices; Mice; Navigation; User interfaces; Virtual environment;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/79.924889
  • Filename
    924889