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

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Authors

ZVONČÁK Vojtěch MEKYSKA Jiří ŠAFÁROVÁ Katarína GALÁŽ Zoltán MUCHA Ján KISKA Tomáš SMÉKAL Zdeněk LOSENICKÁ Barbora ČECHOVÁ Barbora FRANCOVÁ Pavlína FAUNDEZ-ZANUY M. ROSENBLUM Sara

Year of publication 2018
Type Article in Proceedings
Conference 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)
MU Faculty or unit

Faculty of Arts

Citation
Web https://ieeexplore.ieee.org/document/8631271
Doi http://dx.doi.org/10.1109/ICUMT.2018.8631271
Keywords developmental dysgraphia; digitizer; intrawriter normalization; kinematic analysis; machine learning; online handwriting
Description 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.
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