Computerised Assessment of Graphomotor Difficulties in a Cohort of School-aged Children.

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14210%2F19%3A00107995" target="_blank" >RIV/00216224:14210/19:00107995 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216305:26220/19:PU133986

Výsledek na webu

<a href="http://dx.doi.org/10.1109/ICUMT48472.2019.8970767" target="_blank" >http://dx.doi.org/10.1109/ICUMT48472.2019.8970767</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICUMT48472.2019.8970767" target="_blank" >10.1109/ICUMT48472.2019.8970767</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Computerised Assessment of Graphomotor Difficulties in a Cohort of School-aged Children.

Popis výsledku v původním jazyce

Although graphomotor difficulties (GD) are present in up to 30 % of school-aged children, the field of GD diagnosis and assessment is not fully explored and several research gaps can be identified. This study aims to explore the impact of specific elementary graphomotor tasks analysis on the accuracy of computerised diagnosis and assessment of GD. We analysed seven basic graphomotor tasks from 76 children (assessed by special educational counsellors and using the handwriting proficiency screening questionnaire for children HPSQ–C). Employing a differential analysis, we observed that the most discriminative tasks are based on combined loops, sawtooth and small Archimedean spiral drawings. Features with the highest discrimination power quantify kinematics, especially in the vertical projection. Using a multivariate mathematical model, we were able to identify GD with 50 % sensitivity and 90% specificity, and to estimate the total score of HPSQ–C with 31 % error

Název v anglickém jazyce

Computerised Assessment of Graphomotor Difficulties in a Cohort of School-aged Children.

Popis výsledku anglicky

Although graphomotor difficulties (GD) are present in up to 30 % of school-aged children, the field of GD diagnosis and assessment is not fully explored and several research gaps can be identified. This study aims to explore the impact of specific elementary graphomotor tasks analysis on the accuracy of computerised diagnosis and assessment of GD. We analysed seven basic graphomotor tasks from 76 children (assessed by special educational counsellors and using the handwriting proficiency screening questionnaire for children HPSQ–C). Employing a differential analysis, we observed that the most discriminative tasks are based on combined loops, sawtooth and small Archimedean spiral drawings. Features with the highest discrimination power quantify kinematics, especially in the vertical projection. Using a multivariate mathematical model, we were able to identify GD with 50 % sensitivity and 90% specificity, and to estimate the total score of HPSQ–C with 31 % error

Druh

D - Stať ve sborníku

CEP obor

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OECD FORD obor

50102 - Psychology, special (including therapy for learning, speech, hearing, visual and other physical and mental disabilities);

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

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

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název statě ve sborníku

2019 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)

ISBN

9781728157634

ISSN

2157-0221

e-ISSN

—

Počet stran výsledku

6

Strana od-do

1-6

Název nakladatele

IEEE

Místo vydání

Dublin, Irsko

Místo konání akce

Dublin

Datum konání akce

28. 10. 2019

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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