• DocumentCode
    144652
  • Title

    Computer Vision Based Human-Computer Interaction Using Color Detection Techniques

  • Author

    Dhule, Chetan ; Nagrare, Trupti

  • Author_Institution
    Comput. Sci. & Eng. Dept., G.H. Raisoni Coll. of Eng., Nagpur, India
  • fYear
    2014
  • fDate
    7-9 April 2014
  • Firstpage
    934
  • Lastpage
    938
  • Abstract
    A gesture-based human computer interaction allows people to control the application on windows by moving their hands through the air and make computers and devices easier to use. Existing solutions have relied on gesture recognition algorithms they needs different hard wares, often involving complicated setups limited to the research lab. Algorithms which are used so far for gesture recognition are not practical or responsive enough for real-world use, might be due to the inadequate data on which the image processing is done. As existing methods are based on gesture recognition algorithms. It needs ´ANN training´ which makes whole process slow and reduces accuracy. Method we proposed is based on real time controlling the motion of mouse in windows according to the motion of hand and fingers by calculating the change in pixels values of RBG colors from a video, ´without using any ANN training´ to get exact sequence of motion of hands and fingers.
  • Keywords
    computer vision; gesture recognition; human computer interaction; image colour analysis; learning (artificial intelligence); neural nets; ANN training; RBG colors; color detection techniques; computer vision; gesture recognition algorithms; gesture-based human computer interaction; human-computer interaction; image processing; Cameras; Gesture recognition; Image color analysis; Mice; Thumb; Training; computer vision; gesture recognition; human computer interaction; speech recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems and Network Technologies (CSNT), 2014 Fourth International Conference on
  • Conference_Location
    Bhopal
  • Print_ISBN
    978-1-4799-3069-2
  • Type

    conf

  • DOI
    10.1109/CSNT.2014.192
  • Filename
    6821537