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

Logo poskytovatele
Autoři

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

Rok publikování 2018
Druh Článek ve sborníku
Konference 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)
Fakulta / Pracoviště MU

Filozofická fakulta

Citace
www https://ieeexplore.ieee.org/document/8631271
Doi http://dx.doi.org/10.1109/ICUMT.2018.8631271
Klíčová slova developmental dysgraphia; digitizer; intrawriter normalization; kinematic analysis; machine learning; online handwriting
Popis 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.
Související projekty:

Používáte starou verzi internetového prohlížeče. Doporučujeme aktualizovat Váš prohlížeč na nejnovější verzi.