Analysis of gender differences in online handwriting signals for enhancing e-health and e-security applications

Handwriting is a complex perceptual–motor skill that is mastered around the age of 8. Although its computerized analysis has been utilized in many biometric and digital health applications, the possible effect of gender is frequently neglected. The aim of this paper is to analyze different online ha...

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Detalles Bibliográficos
Autores: Faundez-Zanuy, Marcos, Mekyska, Jiri
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:TecnoCampus
Repositorio:Repositori Digital del TecnoCampus
OAI Identifier:oai:repositori.tecnocampus.cat:20.500.12367/2846
Acceso en línea:http://hdl.handle.net/20.500.12367/2846
Access Level:acceso abierto
Palabra clave:Online handwriting
Gender differences
Text
Signature
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spelling Analysis of gender differences in online handwriting signals for enhancing e-health and e-security applicationsFaundez-Zanuy, MarcosMekyska, JiriOnline handwritingGender differencesTextSignatureHandwriting is a complex perceptual–motor skill that is mastered around the age of 8. Although its computerized analysis has been utilized in many biometric and digital health applications, the possible effect of gender is frequently neglected. The aim of this paper is to analyze different online handwritten tasks performed by intact subjects and explore gender differences in commonly used temporal, kinematic, and dynamic features. The differences were explored in the BIOSECUR-ID database. We have identified a significant gender difference in on-surface/in-air time of genuine and skilled forgery signatures, on-surface time in cursive letters and numbers, and pressure, speed, and acceleration in text written in capital letters. Our findings accent the need to consider gender as an important confounding factor in studies dealing with online handwriting signal processing.info:eu-repo/semantics/publishedVersionSpringer Nature202420242023info:eu-repo/semantics/article12 p.application/pdfhttp://hdl.handle.net/20.500.12367/2846reponame:Repositori Digital del TecnoCampusinstname:TecnoCampusInglésCognitive Computations. 2023;15:208-219Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:repositori.tecnocampus.cat:20.500.12367/28462026-06-21T13:30:27Z
dc.title.none.fl_str_mv Analysis of gender differences in online handwriting signals for enhancing e-health and e-security applications
title Analysis of gender differences in online handwriting signals for enhancing e-health and e-security applications
spellingShingle Analysis of gender differences in online handwriting signals for enhancing e-health and e-security applications
Faundez-Zanuy, Marcos
Online handwriting
Gender differences
Text
Signature
title_short Analysis of gender differences in online handwriting signals for enhancing e-health and e-security applications
title_full Analysis of gender differences in online handwriting signals for enhancing e-health and e-security applications
title_fullStr Analysis of gender differences in online handwriting signals for enhancing e-health and e-security applications
title_full_unstemmed Analysis of gender differences in online handwriting signals for enhancing e-health and e-security applications
title_sort Analysis of gender differences in online handwriting signals for enhancing e-health and e-security applications
dc.creator.none.fl_str_mv Faundez-Zanuy, Marcos
Mekyska, Jiri
author Faundez-Zanuy, Marcos
author_facet Faundez-Zanuy, Marcos
Mekyska, Jiri
author_role author
author2 Mekyska, Jiri
author2_role author
dc.subject.none.fl_str_mv Online handwriting
Gender differences
Text
Signature
topic Online handwriting
Gender differences
Text
Signature
description Handwriting is a complex perceptual–motor skill that is mastered around the age of 8. Although its computerized analysis has been utilized in many biometric and digital health applications, the possible effect of gender is frequently neglected. The aim of this paper is to analyze different online handwritten tasks performed by intact subjects and explore gender differences in commonly used temporal, kinematic, and dynamic features. The differences were explored in the BIOSECUR-ID database. We have identified a significant gender difference in on-surface/in-air time of genuine and skilled forgery signatures, on-surface time in cursive letters and numbers, and pressure, speed, and acceleration in text written in capital letters. Our findings accent the need to consider gender as an important confounding factor in studies dealing with online handwriting signal processing.
publishDate 2023
dc.date.none.fl_str_mv 2023
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12367/2846
url http://hdl.handle.net/20.500.12367/2846
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Cognitive Computations. 2023;15:208-219
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 12 p.
application/pdf
dc.publisher.none.fl_str_mv Springer Nature
publisher.none.fl_str_mv Springer Nature
dc.source.none.fl_str_mv reponame:Repositori Digital del TecnoCampus
instname:TecnoCampus
instname_str TecnoCampus
reponame_str Repositori Digital del TecnoCampus
collection Repositori Digital del TecnoCampus
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.81155

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