Developmental Dysgraphia Diagnosis Based on Quantitative Analysis of Online Handwriting
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F18%3APU127891" target="_blank" >RIV/00216305:26220/18:PU127891 - isvavai.cz</a>
Result on the web
<a href="http://www.feec.vutbr.cz/EEICT/archiv/sborniky/EEICT_2018_sbornik.pdf" target="_blank" >http://www.feec.vutbr.cz/EEICT/archiv/sborniky/EEICT_2018_sbornik.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Developmental Dysgraphia Diagnosis Based on Quantitative Analysis of Online Handwriting
Original language description
The prevalence of handwriting difficulties amongs chool-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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 24nd Conference STUDENT EEICT 2018
ISBN
978-80-214-5614-3
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
446-450
Publisher name
Neuveden
Place of publication
Brno
Event location
Brno
Event date
Apr 26, 2018
Type of event by nationality
CST - Celostátní akce
UT code for WoS article
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