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Digital Biomarkers and Digital Phenotyping (297) mHealth for Data Collection and Research (1213) Mobile Health (mhealth) (3516) New Methods (1146)

Published on in Vol 13 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/80094, first published .
Exploring Age-Related Patterns in Smartphone Keystroke Dynamics Considering Temporal Variability: Cross-Sectional Study With AI-Based Analysis

Exploring Age-Related Patterns in Smartphone Keystroke Dynamics Considering Temporal Variability: Cross-Sectional Study With AI-Based Analysis

Exploring Age-Related Patterns in Smartphone Keystroke Dynamics Considering Temporal Variability: Cross-Sectional Study With AI-Based Analysis

Authors of this article:

Junhyung Moon1 Author Orcid Image ;   Yu Lim Huh2 Author Orcid Image ;   Hee Young Cho3, 4 Author Orcid Image ;   Chaeyeon Kim2 Author Orcid Image ;   Hyeongrae Lee5 Author Orcid Image ;   Dong Pyo Jang5 Author Orcid Image ;   Baek Hwan Cho1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Junhyung Moon   1 * , PhD ;   Yu Lim Huh   2 * , BS ;   Hee Young Cho   3, 4 * , MD, PhD ;   Chaeyeon Kim   2 , BS ;   Hyeongrae Lee   5 , PhD ;   Dong Pyo Jang   5 , PhD ;   Baek Hwan Cho   1 , PhD

1 Department of Biomedical Informatics, CHA University School of Medicine, CHA University, Seongnam, Republic of Korea

2 Department of Electronic Engineering, Hanyang University, Seoul, Republic of Korea

3 Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea

4 Institute of Reproductive Medicine and Population, Medical Research Center, Seoul National University, Seoul, Republic of Korea

5 Department of Biomedical Engineering, Hanyang University, Seoul, Republic of Korea

*these authors contributed equally

Corresponding Author:

  • Baek Hwan Cho, PhD
  • Department of Biomedical Informatics, CHA University School of Medicine
  • CHA University
  • 335, Pangyo-ro, Bundang-gu
  • Seongnam 13488
  • Republic of Korea
  • Phone: 82 10-8704-5768
  • Email: baekhwan.cho@cha.ac.kr