B.90 Optimization of a Handwriting Recognition Algorithm for a Mobile Enterprise Health Information System on the Basis of Real-Life Usability Research

Andreas Holzinger; Martin Schlögl; Bernhard Peischl; Matjaz Debevc

B.90 Optimization of a Handwriting Recognition Algorithm for a Mobile Enterprise Health Information System on the Basis of Real-Life Usability Research

Andreas Holzinger, Martin Schlögl, Bernhard Peischl, Matjaz Debevc

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Original language	English
Title of host publication	Springer Communications in Computer and Information Science, Vol. 222
Place of Publication	Heidelberg, Berlin, London, New York
Publisher	Springer
Pages	97-111
Edition	1
ISBN (Print)	978-3-642-25205-1
Publication status	Published - 2012

Fields of Expertise

Information, Communication & Computing

Treatment code (Nähere Zuordnung)

Application
Theoretical
Experimental

Access to Document

HOLZINGER et al (2012) Optimization of Handwriting Algorithms CCIS 222.pdfFinal published version, 371 KB

Cite this

B.90 Optimization of a Handwriting Recognition Algorithm for a Mobile Enterprise Health Information System on the Basis of Real-Life Usability Research. / Holzinger, Andreas; Schlögl, Martin; Peischl, Bernhard et al.
Springer Communications in Computer and Information Science, Vol. 222. 1. ed. Heidelberg, Berlin, London, New York: Springer, 2012. p. 97-111.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

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AU - Holzinger, Andreas

AU - Schlögl, Martin

AU - Peischl, Bernhard

AU - Debevc, Matjaz

PY - 2012

Y1 - 2012

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BT - Springer Communications in Computer and Information Science, Vol. 222

PB - Springer

CY - Heidelberg, Berlin, London, New York

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B.90 Optimization of a Handwriting Recognition Algorithm for a Mobile Enterprise Health Information System on the Basis of Real-Life Usability Research

Fields of Expertise

Treatment code (Nähere Zuordnung)

Access to Document

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Cite this