Publication detail

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

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

1

Pages to

12

Pages count

12

URL

Full text in the Digital Library

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"
}