Advanced parametrization of graphomotor difficulties in school-aged children

School-aged children spend 31–60% of their time at school performing handwriting, which is a complex perceptual-motor skill composed of a coordinated combination of fine graphomotor movements. As up to 30% of them experience graphomotor difficulties (GD), timely diagnosis of these difficulties and t...

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Detalles Bibliográficos
Autores: Galaz, Zoltan, Mucha, Ján, Zvončák, Vojtěch, Mekyska, Jiri, Smekal, Zdenek, Zvončáková, Katarína, Ondráčková, Anežka, Urbanek, Tomas, Havigerova, Jana Marie, Bednarova, Jirina, Faundez-Zanuy, Marcos
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:20.500.12367/2511
Acceso en línea:https://hdl.handle.net/20.500.12367/2511
Access Level:acceso abierto
Palabra clave:Advanced parametrization
Computerized analysis
Graphomotor difficulties
Machine learning
Online handwriting
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spelling Advanced parametrization of graphomotor difficulties in school-aged childrenGalaz, ZoltanMucha, JánZvončák, VojtěchMekyska, JiriSmekal, ZdenekZvončáková, KatarínaOndráčková, AnežkaUrbanek, TomasHavigerova, Jana MarieBednarova, JirinaFaundez-Zanuy, MarcosAdvanced parametrizationComputerized analysisGraphomotor difficultiesMachine learningOnline handwritingSchool-aged children spend 31–60% of their time at school performing handwriting, which is a complex perceptual-motor skill composed of a coordinated combination of fine graphomotor movements. As up to 30% of them experience graphomotor difficulties (GD), timely diagnosis of these difficulties and therapeutic intervention are of great importance. At present, an objective, computerized decision support system for the identification and assessment of GD in school-aged children is still missing. In this study, we propose three novel advanced handwriting parametrization techniques based on modulation spectra, fractional order derivatives, and tunable Q-factor wavelet transform to improve the identification of GD using online handwriting. [...]info:eu-repo/semantics/publishedVersionIEEE2020info:eu-repo/semantics/article15 p.https://hdl.handle.net/20.500.12367/2511reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésIEEE Acces. 2020 Jun 17;8:112883-112897Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:20.500.12367/25112026-05-29T05:05:01Z
dc.title.none.fl_str_mv Advanced parametrization of graphomotor difficulties in school-aged children
title Advanced parametrization of graphomotor difficulties in school-aged children
spellingShingle Advanced parametrization of graphomotor difficulties in school-aged children
Galaz, Zoltan
Advanced parametrization
Computerized analysis
Graphomotor difficulties
Machine learning
Online handwriting
title_short Advanced parametrization of graphomotor difficulties in school-aged children
title_full Advanced parametrization of graphomotor difficulties in school-aged children
title_fullStr Advanced parametrization of graphomotor difficulties in school-aged children
title_full_unstemmed Advanced parametrization of graphomotor difficulties in school-aged children
title_sort Advanced parametrization of graphomotor difficulties in school-aged children
dc.creator.none.fl_str_mv Galaz, Zoltan
Mucha, Ján
Zvončák, Vojtěch
Mekyska, Jiri
Smekal, Zdenek
Zvončáková, Katarína
Ondráčková, Anežka
Urbanek, Tomas
Havigerova, Jana Marie
Bednarova, Jirina
Faundez-Zanuy, Marcos
author Galaz, Zoltan
author_facet Galaz, Zoltan
Mucha, Ján
Zvončák, Vojtěch
Mekyska, Jiri
Smekal, Zdenek
Zvončáková, Katarína
Ondráčková, Anežka
Urbanek, Tomas
Havigerova, Jana Marie
Bednarova, Jirina
Faundez-Zanuy, Marcos
author_role author
author2 Mucha, Ján
Zvončák, Vojtěch
Mekyska, Jiri
Smekal, Zdenek
Zvončáková, Katarína
Ondráčková, Anežka
Urbanek, Tomas
Havigerova, Jana Marie
Bednarova, Jirina
Faundez-Zanuy, Marcos
author2_role author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Advanced parametrization
Computerized analysis
Graphomotor difficulties
Machine learning
Online handwriting
topic Advanced parametrization
Computerized analysis
Graphomotor difficulties
Machine learning
Online handwriting
description School-aged children spend 31–60% of their time at school performing handwriting, which is a complex perceptual-motor skill composed of a coordinated combination of fine graphomotor movements. As up to 30% of them experience graphomotor difficulties (GD), timely diagnosis of these difficulties and therapeutic intervention are of great importance. At present, an objective, computerized decision support system for the identification and assessment of GD in school-aged children is still missing. In this study, we propose three novel advanced handwriting parametrization techniques based on modulation spectra, fractional order derivatives, and tunable Q-factor wavelet transform to improve the identification of GD using online handwriting. [...]
publishDate 2020
dc.date.none.fl_str_mv 2020
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.12367/2511
url https://hdl.handle.net/20.500.12367/2511
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv IEEE Acces. 2020 Jun 17;8:112883-112897
dc.rights.none.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 15 p.
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869405647990161408
score 15,811543

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