2018
Effect of Stroke-level Intra-writer Normalization on Computerized Assessment of Developmental Dysgraphia
ZVONČÁK, Vojtěch; Jiří MEKYSKA; Katarína ŠAFÁROVÁ; Zoltán GALÁŽ; Ján MUCHA et al.Základní údaje
Originální název
Effect of Stroke-level Intra-writer Normalization on Computerized Assessment of Developmental Dysgraphia
Autoři
ZVONČÁK, Vojtěch; Jiří MEKYSKA; Katarína ŠAFÁROVÁ; Zoltán GALÁŽ; Ján MUCHA; Tomáš KISKA; Zdeněk SMÉKAL; Barbora LOSENICKÁ; Barbora ČECHOVÁ; Pavlína FRANCOVÁ; M. FAUNDEZ-ZANUY a Sara ROSENBLUM
Vydání
Moskva, Rusko, 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), od s. 233-237, 5 s. 2018
Nakladatel
Neuveden
Další údaje
Jazyk
angličtina
Typ výsledku
Stať ve sborníku
Obor
50101 Psychology
Stát vydavatele
Rusko
Utajení
není předmětem státního či obchodního tajemství
Forma vydání
elektronická verze "online"
Odkazy
Označené pro přenos do RIV
Ano
Kód RIV
RIV/00216224:14210/18:00101464
Organizační jednotka
Filozofická fakulta
ISBN
978-1-5386-9360-5
EID Scopus
Klíčová slova anglicky
developmental dysgraphia; digitizer; intrawriter normalization; kinematic analysis; machine learning; online handwriting
Štítky
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 30. 4. 2019 08:58, Mgr. Igor Hlaváč
Anotace
V originále
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.
Návaznosti
| GA18-16835S, projekt VaV |
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