Publication detail

Effect of Stroke-level Intra-writer Normalization on Computerized Assessment of Developmental Dysgraphia

ZVONČÁK, V. MEKYSKA, J. ŠAFÁROVÁ, K. GALÁŽ, Z. MUCHA, J. KISKA, T. SMÉKAL, Z. LOSENICKÁ, B. ČECHOVÁ, B. FRANCOVÁ, P. FAUNDEZ-ZANUY, M. ROSENBLUM, S.

Original Title

Effect of Stroke-level Intra-writer Normalization on Computerized Assessment of Developmental Dysgraphia

English Title

Effect of Stroke-level Intra-writer Normalization on Computerized Assessment of Developmental Dysgraphia

Type

conference paper

Language

en

Original Abstract

Developmental dysgraphia (DD) can negatively influence writing speed, legibility of written product, and even planning and content generation. This could have a detrimental impact on self-expression, and communication in childhood. The goal of this study is to investigate new intra-writer and selfesteem normalization methods (IWN) in direction of improving computerized DD assessment based on the quantitative analysis of online handwriting. For this purpose we enrolled 97 children who wrote a paragraph using a digitizing tablet. Their handwriting proficiency was rated by the Handwriting Proficiency Screening Questionnaire (HPSQ). The handwriting was parametrized using a conventional set of features that were consequently normalized by four newly designed IWN. Based on the results we observed that a stroke-level ‘ 2 norm normalization decreased the computerized DD assessment error from 23% to 18%. This study proves that the stroke-level IWN has the significant potential in the field of computerized DD diagnosis and assessment.

English abstract

Developmental dysgraphia (DD) can negatively influence writing speed, legibility of written product, and even planning and content generation. This could have a detrimental impact on self-expression, and communication in childhood. The goal of this study is to investigate new intra-writer and selfesteem normalization methods (IWN) in direction of improving computerized DD assessment based on the quantitative analysis of online handwriting. For this purpose we enrolled 97 children who wrote a paragraph using a digitizing tablet. Their handwriting proficiency was rated by the Handwriting Proficiency Screening Questionnaire (HPSQ). The handwriting was parametrized using a conventional set of features that were consequently normalized by four newly designed IWN. Based on the results we observed that a stroke-level ‘ 2 norm normalization decreased the computerized DD assessment error from 23% to 18%. This study proves that the stroke-level IWN has the significant potential in the field of computerized DD diagnosis and assessment.

Keywords

developmental dysgraphia, digitizer, intrawriter normalization, kinematic analysis, machine learning, online handwriting

Released

05.11.2018

Location

Moskva, Rusko

ISBN

978-1-5386-9360-5

Book

10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)

Pages from

233

Pages to

237

Pages count

5

BibTex


@inproceedings{BUT150210,
  author="Vojtěch {Zvončák} and Jiří {Mekyska} and Zoltán {Galáž} and Ján {Mucha} and Tomáš {Kiska} and Zdeněk {Smékal} and Katarína {Šafárová}",
  title="Effect of Stroke-level Intra-writer Normalization on Computerized Assessment of Developmental Dysgraphia",
  annote="Developmental dysgraphia (DD) can negatively influence writing speed, legibility of written product, and even planning and content generation. This could have a detrimental impact on self-expression, and communication in childhood. The goal of this study is to investigate new intra-writer and selfesteem normalization methods (IWN) in direction of improving computerized DD assessment based on the quantitative analysis of online handwriting. For this purpose we enrolled 97 children who wrote a paragraph using a digitizing tablet. Their handwriting proficiency was rated by the Handwriting Proficiency Screening Questionnaire (HPSQ). The handwriting was parametrized using a conventional set of features that were consequently normalized
by four newly designed IWN. Based on the results we observed that a stroke-level ‘ 2 norm normalization decreased the computerized DD assessment error from 23% to 18%. This study proves that the stroke-level IWN has the significant potential in the field of computerized DD diagnosis and assessment.",
  booktitle="10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)",
  chapter="150210",
  howpublished="online",
  year="2018",
  month="november",
  pages="233--237",
  type="conference paper"
}