Detail publikace

Analysis of Gender Differences in Online Handwriting Signals for Enhancing e-Health and e-Security Applications

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

1

Strany do

12

Strany počet

12

URL

Plný text v Digitální knihovně

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"
}