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

D 2019

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

MEKYSKA, Jiří, Zoltan GALÁŽ, Katarína ŠAFÁROVÁ, Vojtěch ZVONČÁK, Jan MUCHA et. al.

Basic information

Original name

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

Authors

MEKYSKA, Jiří (203 Czech Republic), Zoltan GALÁŽ (703 Slovakia), Katarína ŠAFÁROVÁ (703 Slovakia, guarantor, belonging to the institution), Vojtěch ZVONČÁK (203 Czech Republic), Jan MUCHA (703 Slovakia), Zdeněk SMÉKAL (203 Czech Republic), Anežka ONDRÁČKOVÁ (203 Czech Republic), Tomáš URBÁNEK (203 Czech Republic, belonging to the institution), Jana Marie HAVIGEROVÁ (203 Czech Republic, belonging to the institution), Jiřina BEDNÁŘOVÁ (203 Czech Republic) and Marcos FAÚNDEZ-ZANUY (724 Spain)

Edition

Dublin, Irsko, 2019 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), p. 1-6, 6 pp. 2019

Publisher

IEEE

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

50102 Psychology, special ;

Country of publisher

Ireland

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

RIV identification code

RIV/00216224:14210/19:00107995

Organization unit

Faculty of Arts

ISBN

978-1-7281-5763-4

ISSN

DOI

http://dx.doi.org/10.1109/ICUMT48472.2019.8970767

UT WoS

000540651700021

Keywords in English

computerised analysis; digitizer; graphomotor difficulties; graphomotor elements; machine learning; online handwriting

Abstract

V originále

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

Links

GA18-16835S, research and development project

Name: Výzkum pokročilých metod diagnózy a hodnocení vývojové dysgrafie založených na kvantitativní analýze online písma a kresby (Acronym: DiagnosisDysgraphia)

Investor: Czech Science Foundation

Citovat

MEKYSKA, Jiří, Zoltan GALÁŽ, Katarína ŠAFÁROVÁ, Vojtěch ZVONČÁK, Jan MUCHA, Zdeněk SMÉKAL, Anežka ONDRÁČKOVÁ, Tomáš URBÁNEK, Jana Marie HAVIGEROVÁ, Jiřina BEDNÁŘOVÁ and Marcos FAÚNDEZ-ZANUY. Computerised Assessment of Graphomotor Difficulties in a Cohort of School-aged Children. Online. In 2019 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). Dublin, Irsko: IEEE, 2019, p. 1-6. ISBN 978-1-7281-5763-4. Available from: https://dx.doi.org/10.1109/ICUMT48472.2019.8970767.

@inproceedings{1602259,
   author = {Mekyska, Jiří and Galáž, Zoltan and Šafárová, Katarína and Zvončák, Vojtěch and Mucha, Jan and Smékal, Zdeněk and Ondráčková, Anežka and Urbánek, Tomáš and Havigerová, Jana Marie and Bednářová, Jiřina and FaúndezandZanuy, Marcos},
   address = {Dublin, Irsko},
   booktitle = {2019 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)},
   doi = {http://dx.doi.org/10.1109/ICUMT48472.2019.8970767},
   keywords = {computerised analysis; digitizer; graphomotor difficulties; graphomotor elements; machine learning; online handwriting},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Dublin, Irsko},
   isbn = {978-1-7281-5763-4},
   pages = {1-6},
   publisher = {IEEE},
   title = {Computerised Assessment of Graphomotor Difficulties in a Cohort of School-aged Children.},
   year = {2019}
}

TY  - JOUR
ID  - 1602259
AU  - Mekyska, Jiří - Galáž, Zoltan - Šafárová, Katarína - Zvončák, Vojtěch - Mucha, Jan - Smékal, Zdeněk - Ondráčková, Anežka - Urbánek, Tomáš - Havigerová, Jana Marie - Bednářová, Jiřina - Faúndez-Zanuy, Marcos
PY  - 2019
TI  - Computerised Assessment of Graphomotor Difficulties in a Cohort of School-aged Children.
PB  - IEEE
CY  - Dublin, Irsko
SN  - 9781728157634
KW  - computerised analysis
KW  - digitizer
KW  - graphomotor difficulties
KW  - graphomotor elements
KW  - machine learning
KW  - online handwriting
N2  - 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
ER  -

MEKYSKA, Jiří, Zoltan GALÁŽ, Katarína ŠAFÁROVÁ, Vojtěch ZVONČÁK, Jan MUCHA, Zdeněk SMÉKAL, Anežka ONDRÁČKOVÁ, Tomáš URBÁNEK, Jana Marie HAVIGEROVÁ, Jiřina BEDNÁŘOVÁ and Marcos FAÚNDEZ-ZANUY. Computerised Assessment of Graphomotor Difficulties in a Cohort of School-aged Children. Online. In \textit{2019 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)}. Dublin, Irsko: IEEE, 2019, p.~1-6. ISBN~978-1-7281-5763-4. Available from: https://dx.doi.org/10.1109/ICUMT48472.2019.8970767.

Detailed Information on Publication Record