• DocumentCode
    2294521
  • Title

    Virtual Keyboard Using Shadow Analysis

  • Author

    Adajania, Y. ; Gosalia, J. ; Kanade, A. ; Mehta, H. ; Shekokar, N.

  • Author_Institution
    Dept. of Comput. Eng., Dwarkadas J. Sanghvi Coll. of Eng., Mumbai, India
  • fYear
    2010
  • fDate
    19-21 Nov. 2010
  • Firstpage
    163
  • Lastpage
    165
  • Abstract
    Traditional QWERTY keyboards provide a minimal but functional interface. However these keyboards are bulky and offer very little in terms of enhancements. In this age of miniaturization, where the size of laptops and desktops is becoming smaller, the traditional keyboard acts as a hindrance to further miniaturization. The Virtual Keyboard (VK), with its minimal physical form can provides a solution to this problem. Although other forms of Virtual Keyboards exist, they provide solutions using specialized devices such as 3D cameras. Due to this, a practical implementation of such keyboards is not feasible. The Virtual Keyboard that we propose uses only a standard web camera, with no additional hardware. This paper addresses problems with current Virtual Keyboard implementations and describes a novel technique, namely shadow analysis, to solve these problems.
  • Keywords
    computer vision; feature extraction; keyboards; QWERTY keyboard; shadow analysis; standard Web camera; virtual keyboard; Image processing; Shadow analysis; Virtual Keyboard; edge detection; shadow extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Trends in Engineering and Technology (ICETET), 2010 3rd International Conference on
  • Conference_Location
    Goa
  • ISSN
    2157-0477
  • Print_ISBN
    978-1-4244-8481-2
  • Electronic_ISBN
    2157-0477
  • Type

    conf

  • DOI
    10.1109/ICETET.2010.115
  • Filename
    5698312