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

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Title: Exploring Age-Related Patterns in Smartphone Keystroke Dynamics Considering Temporal Variability: Cross-Sectional Study With AI-Based Analysis.
Authors: Moon J; Department of Biomedical Informatics, CHA University School of Medicine, CHA University, Seongnam, Republic of Korea., Huh YL; Department of Electronic Engineering, Hanyang University, Seoul, Republic of Korea., Cho HY; Department of Obstetrics and Gynecology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea.; Institute of Reproductive Medicine and Population, Medical Research Center, Seoul National University, Seoul, Republic of Korea., Kim C; Department of Electronic Engineering, Hanyang University, Seoul, Republic of Korea., Lee H; Department of Biomedical Engineering, Hanyang University, Seoul, Republic of Korea., Jang DP; Department of Biomedical Engineering, Hanyang University, Seoul, Republic of Korea., Cho BH; Department of Biomedical Informatics, CHA University School of Medicine, CHA University, Seongnam, Republic of Korea.
Source: JMIR mHealth and uHealth [JMIR Mhealth Uhealth] 2025 Dec 02; Vol. 13, pp. e80094. Date of Electronic Publication: 2025 Dec 02.
Publication Type: Journal Article
Journal Info: Publisher: JMIR Publications Inc Country of Publication: Canada NLM ID: 101624439 Publication Model: Electronic Cited Medium: Internet ISSN: 2291-5222 (Electronic) Linking ISSN: 22915222 NLM ISO Abbreviation: JMIR Mhealth Uhealth Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2291-5222
DOI:10.2196/80094