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FAÚNDEZ ZANUY, M. MEKYSKA, J.
Originální název
Analysis of Gender Differences in Online Handwriting Signals for Enhancing e-Health and e-Security Applications
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
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.
Klíčová slova
online handwriting; gender differences; text; signature
Autoři
FAÚNDEZ ZANUY, M.; MEKYSKA, J.
Vydáno
21. 1. 2023
Nakladatel
Springer
ISSN
1866-9956
Periodikum
Cognitive Computation
Ročník
15
Číslo
1
Stát
Spojené státy americké
Strany od
Strany do
12
Strany počet
URL
https://link.springer.com/article/10.1007/s12559-023-10116-9
Plný text v Digitální knihovně
http://hdl.handle.net/11012/209230
BibTex
@article{BUT182508, author="Marcos {Faúndez Zanuy} and Jiří {Mekyska}", title="Analysis of Gender Differences in Online Handwriting Signals for Enhancing e-Health and e-Security Applications", journal="Cognitive Computation", year="2023", volume="15", number="1", pages="12", doi="10.1007/s12559-023-10116-9", issn="1866-9956", url="https://link.springer.com/article/10.1007/s12559-023-10116-9" }