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FAÚNDEZ ZANUY, M. MEKYSKA, J.
Original Title
Analysis of Gender Differences in Online Handwriting Signals for Enhancing e-Health and e-Security Applications
Type
journal article in Web of Science
Language
English
Original Abstract
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.
Keywords
online handwriting; gender differences; text; signature
Authors
FAÚNDEZ ZANUY, M.; MEKYSKA, J.
Released
21. 1. 2023
Publisher
Springer
ISBN
1866-9956
Periodical
Cognitive Computation
Year of study
15
Number
1
State
United States of America
Pages from
Pages to
12
Pages count
URL
https://link.springer.com/article/10.1007/s12559-023-10116-9
Full text in the Digital Library
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" }