• DocumentCode
    1899261
  • Title

    Hand posture recognition and classification

  • Author

    Öncül, Sevil ; Yürekl, Merve ; Albayrak, Songül

  • Author_Institution
    Bilgisayar Muhendisligi Bolumu, Yildiz Teknik Univ., İstanbul, Turkey
  • fYear
    2011
  • fDate
    20-22 April 2011
  • Firstpage
    1024
  • Lastpage
    1027
  • Abstract
    In recent years, human-computer interaction is become very important with developing new techniques. This situation has made a power by speeding up the potential applications in the area of human-computer interactions. But in order to use hands for interaction, it is necessary to be able to recognize them in images. In this study, 10 different hand posture images from 24 different signers are used for recognition and classification.
  • Keywords
    human computer interaction; image classification; pose estimation; hand posture classification; hand posture recognition; human-computer interaction; image recognition; Conferences; Gesture recognition; Human computer interaction; Image recognition; Robots; Signal processing; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications (SIU), 2011 IEEE 19th Conference on
  • Conference_Location
    Antalya
  • Print_ISBN
    978-1-4577-0462-8
  • Electronic_ISBN
    978-1-4577-0461-1
  • Type

    conf

  • DOI
    10.1109/SIU.2011.5929828
  • Filename
    5929828
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1899261