• DocumentCode
    679712
  • Title

    Handwriting recognition on mobile devices: State of the art technology, usability and business analysis

  • Author

    Holzinger, Andreas ; Basic, Lamija ; Peischl, Bernhard ; Debevc, Matjaz

  • Author_Institution
    Research Unit Human-Computer Interaction, Institute for Medical Informatics, Medical University of Graz, Graz, Austria
  • fYear
    2011
  • fDate
    18-21 July 2011
  • Firstpage
    1
  • Lastpage
    9
  • Abstract
    The software company FERK-Systems has been providing mobile health care information systems for various German medical services (e.g. Red Cross) for many years. Since handwriting is an issue in the medical and health care domain, a system for handwriting recognition on mobile devices has been developed within the last few years. While we have been continually improving the degree of recognition within the system, there are still changes necessary to ensure the reliability that is imperative in this critical domain. In this paper, we present the major improvements made since our presentation at the ICE-B 2010, along with a recent real-life usability evaluation. Moreover, we discuss some of the advantages and disadvantages of current systems, along with some business aspects of the vast, and growing, mobile handwriting recognition market.
  • Keywords
    Calibration; Character recognition; Handwriting recognition; Hidden Markov models; Mobile communication; Mobile handsets; Writing; Handwriting recognition; Healthcare; Human-computer interaction; Mobile computer; Usability engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    e-Business (ICE-B), 2011 Proceedings of the International Conference on
  • Conference_Location
    Seville, Spain
  • Type

    conf

  • Filename
    6731141