Assessment of Developmental Dysgraphia Utilising a Display Tablet

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F23%3APU149999" target="_blank" >RIV/00216305:26220/23:PU149999 - isvavai.cz</a>

Alternative codes found

RIV/68081740:_____/23:00576325

Result on the web

<a href="https://doi.org/10.1007/978-3-031-45461-5_2" target="_blank" >https://doi.org/10.1007/978-3-031-45461-5_2</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-45461-5_2" target="_blank" >10.1007/978-3-031-45461-5_2</a>

Result language

angličtina

Original language name

Assessment of Developmental Dysgraphia Utilising a Display Tablet

Original language description

Even though the computerised assessment of developmental dysgraphia (DD) based on online handwriting processing has increasing popularity, most of the solutions are based on a setup, where a child writes on a paper fixed to a digitizing tablet that is connected to a computer. Although this approach enables the standard way of writing using an inking pen, it is difficult to be administered by children themselves. The main goal of this study is thus to explore, whether the quantitative analysis of online handwriting recorded via a display/screen tablet could sufficiently support the assessment of DD as well. For the purpose of this study, we enrolled 144 children (attending the 3rd and 4th class of a primary school), whose handwriting proficiency was assessed by a special education counsellor, and who assessed themselves by the Handwriting Proficiency Screening Questionnaires for Children (HPSQ–C). Using machine learning models based on a gradient-boosting algorithm, we were able to support the DD diagnosis with up to 83.6% accuracy. The HPSQ–C total score was estimated with a minimum error equal to 10.34%. Children with DD spent significantly higher time in-air, they had a higher number of pen elevations, a bigger height of on-surface strokes, a lower in-air tempo, and a higher variation in the angular velocity. Although this study shows a promising impact of DD assessment via display tablets, it also accents the fact that modelling of subjective scores is challenging and a complex and data-driven quantification of DD manifestations is needed.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

20201 - Electrical and electronic engineering

Project

<a href="/en/project/TL03000287" target="_blank" >TL03000287: Software for advanced diagnosis of graphomotor disabilities</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Graphonomics in Human Body Movement: Bridging Research and Practice from Motor Control to Handwriting Analysis and Recognition

ISBN

978-3-031-45460-8

ISSN

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e-ISSN

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Number of pages

15

Pages from-to

21-35

Publisher name

Neuveden

Place of publication

neuveden

Event location

Évora

Event date

Oct 16, 2023

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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