• DocumentCode
    2598108
  • Title

    Motion analysis of hand writing Japanese character using human computer interface

  • Author

    Sano, Tomomi ; Ukida, Hideyuki ; Yamamoto, Hiroshi

  • Author_Institution
    Syst. Enterprise Co., Ltd., Okayama, Japan
  • fYear
    2009
  • fDate
    5-7 May 2009
  • Firstpage
    878
  • Lastpage
    882
  • Abstract
    A brush pen is one of traditional writing tools, and it is used to practice the writing characters in schools. Handwriting with the brush pen requires some basic skills for pupils and students. For example, they must keep speed of the brush pen while drawing strokes. In order to support hand writing practice, motion analysis of the written character is necessary. In this paper, we developed a new human-computer interface for hand writing character that uses ordinal papers and brush pen. Strokes written by the brush pen can be inputted into a computer by using a CCD camera. And the strokes written by the brush pen can be reconstructed and displayed as a character on the computer display at the realistic rate. We developed an algorithm to evaluate the character.
  • Keywords
    CCD image sensors; computer displays; handwritten character recognition; human computer interaction; image motion analysis; image reconstruction; natural languages; CCD camera; Japanese character evaluation; brush pen; computer display; hand writing Japanese character evaluation; hand written character motion analysis; human-computer interface; pupil skills; schools; student skills; traditional writing tools; written strokes reconstruction; Brushes; Charge coupled devices; Charge-coupled image sensors; Computer displays; Computer interfaces; Educational institutions; Handwriting recognition; Humans; Motion analysis; Writing; Hand writing; Human computer interface; Image processing; Input device;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation and Measurement Technology Conference, 2009. I2MTC '09. IEEE
  • Conference_Location
    Singapore
  • ISSN
    1091-5281
  • Print_ISBN
    978-1-4244-3352-0
  • Type

    conf

  • DOI
    10.1109/IMTC.2009.5168574
  • Filename
    5168574