Developmental Dysgraphia Diagnosis Based On Quantitative Analysis Of Online Handwriting
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The prevalence of handwriting difficulties among school-aged children is around 10 – 30 %. Until now, there is no objective method to diagnose and rate developmental dysgraphia (DD) in Czech Republic. The goal of this study is to propose a new method of objective DD diagnosis based on quantitative analysis of online handwriting. For this purpose, we extracted a set of spatial, temporal, kinematic and dynamic features from three handwriting tasks. Consequently, we performed a correlation analysis between these features and score of handwriting proficiency screening questionaire (HPSQ), in order to identify parameters with a good discrimination power. Using random forests classifier in combination with quantification of alphabet writing task, we reached nearly 77% classification accuracy (75% sensitivity, 80% specificity). This pilot study proves the possibility of automatic DD diagnosis in children cohort writing with cursive letters.
Keywordsdevelopmental dysgraphia, digitizing tablet, online handwriting, quantitative analysis, diagnosis
Document typePeer reviewed
Document versionxmlui.vut.verze.Publishers's version
SourceProceedings of the 24th Conference STUDENT EEICT 2018. s. 446-450. ISBN 978-80-214-5614-3
- Student EEICT 2018