• DocumentCode
    2053085
  • Title

    Hand Motion Recognition and Visualisation for Direct Sign Writing

  • Author

    Lu, Gan ; Shark, Lik-Kwan ; Hall, Geoff ; Zeshan, Ulrike

  • Author_Institution
    Appl. Digital Signal & Image Process. Res. Centre (ADSIP), Univ. of Central Lancashire, Preston, UK
  • fYear
    2010
  • fDate
    26-29 July 2010
  • Firstpage
    467
  • Lastpage
    472
  • Abstract
    Although SignWriting provides an intuitive notation system based on pictorial symbols to enable any sign based language in the world to be transcribed into a written form, it is a time consuming process for keyboard based input. To address the challenge of direct sign writing, the paper presents a human-computer-interaction system developed for recognition and visualisation of hand movements. The system is shown to be able to display the corresponding SignWriting symbols for various hand movements performed by two hands based on motion characteristics such as movement planes, movement directions, straight/curve movement paths, clockwise/anti-clockwise movements, and single/repeated movements.
  • Keywords
    data visualisation; handwriting recognition; handwritten character recognition; human computer interaction; SignWriting symbols; direct sign writing visualization; hand motion recognition; human-computer-interaction system; sign based language; Clocks; Floors; Handicapped aids; Three dimensional displays; Tracking; Trajectory; Writing; Direct SignWriting visualisation; Hand motion recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Visualisation (IV), 2010 14th International Conference
  • Conference_Location
    London
  • ISSN
    1550-6037
  • Print_ISBN
    978-1-4244-7846-0
  • Type

    conf

  • DOI
    10.1109/IV.2010.71
  • Filename
    5571184