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
Link To Document