Robust remote detection of depressive tendency based on keystroke dynamics and behavioural characteristics

Ruba Fadul, Aamna AlShehhi, Leontios Hadjileontiadis

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DOI: 10.1038/s41598-024-78489-x
Published: 2024-11-14
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-024-78489-x,
  title = {Robust remote detection of depressive tendency based on keystroke dynamics and behavioural characteristics},
  author = {Ruba Fadul and Aamna AlShehhi and Leontios Hadjileontiadis},
  year = {2024},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-024-78489-x},
  url = {https://doi.org/10.1038/s41598-024-78489-x}
}

RIS

TY  - JOUR
TI  - Robust remote detection of depressive tendency based on keystroke dynamics and behavioural characteristics
AU  - Ruba Fadul
AU  - Aamna AlShehhi
AU  - Leontios Hadjileontiadis
PY  - 2024
JO  - Scientific Reports
DO  - 10.1038/s41598-024-78489-x
UR  - https://doi.org/10.1038/s41598-024-78489-x
ER  -

APA

Fadul, R., AlShehhi, A., & Hadjileontiadis, L. (2024). Robust remote detection of depressive tendency based on keystroke dynamics and behavioural characteristics. Scientific Reports. https://doi.org/10.1038/s41598-024-78489-x

Source records

crossref · retrieved 2026-09-25T10:49:56.578Z