• DocumentCode
    2014890
  • Title

    iGesture: A General Gesture Recognition Framework

  • Author

    Signer, Beat ; Kurmann, Ueli ; Norrie, Moira C.

  • Author_Institution
    ETH Zurich, Zurich
  • Volume
    2
  • fYear
    2007
  • fDate
    23-26 Sept. 2007
  • Firstpage
    954
  • Lastpage
    958
  • Abstract
    With the emergence of digital pen and paper interfaces, there is a need for gesture recognition tools for digital pen input. While there exists a variety of gesture recognition frameworks, none of them addresses the issues of supporting application developers as well as the designers of new recognition algorithms and, at the same time, can be integrated with new forms of input devices such as digital pens. We introduce iGesture, a Java-based gesture recognition framework focusing on extensibility and cross-application reusability by providing an integrated solution that includes tools for gesture recognition as well as the creation and management of gesture sets for the evaluation and optimisation of new or existing gesture recognition algorithms. In addition to traditional screen-based interaction, iGesture provides a digital pen and paper interface.
  • Keywords
    Java; gesture recognition; Java-based gesture recognition; digital pen; gesture recognition tools; iGesture; paper interfaces; Algorithm design and analysis; Classification algorithms; Feedback; Information systems; Java; Mice; Robustness; Testing; User interfaces; Visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Document Analysis and Recognition, 2007. ICDAR 2007. Ninth International Conference on
  • Conference_Location
    Parana
  • ISSN
    1520-5363
  • Print_ISBN
    978-0-7695-2822-9
  • Type

    conf

  • DOI
    10.1109/ICDAR.2007.4377056
  • Filename
    4377056