• DocumentCode
    2143830
  • Title

    A Model of Cluster-Based Rough Set and its Application

  • Author

    Xu, Yan

  • Author_Institution
    Beijing Language & Culture Univ., Beijing, China
  • fYear
    2010
  • fDate
    14-16 Aug. 2010
  • Firstpage
    562
  • Lastpage
    567
  • Abstract
    Rough set theory is a mathematical tool to deal with vagueness and uncertainty, but it lacks processing power of actual data and missing value. This paper proposed a model of cluster-based rough set, which solved problems in dealing with actual data and missing value, and then, we applies it to human-computer interaction, the difficulty of gesture interaction lies in the complexity and verisimilitude. Using this model, we found 5 unnecessary degrees of freedom for hand joints, that is, a kind of constraint of hand movement was found, the difficulties in the gesture was largely reduced.
  • Keywords
    gesture recognition; human computer interaction; pattern clustering; rough set theory; uncertainty handling; cluster based rough set; gesture interaction; human computer interaction; rough set theory; uncertainty; Data models; Euclidean distance; Fingers; Handicapped aids; Human computer interaction; Joints; Set theory; artificial intelligence; clustering; gestures; human-computer interaction; rough set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing (GrC), 2010 IEEE International Conference on
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-4244-7964-1
  • Type

    conf

  • DOI
    10.1109/GrC.2010.109
  • Filename
    5575997