A deep-learning based gait classification and anomaly detection framework for healthcare surveillance.
- DOI
- 10.1038/s41598-026-62788-6
- Published
- 2026 Jul 17
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-62788-6,
title = {A deep-learning based gait classification and anomaly detection framework for healthcare surveillance.},
author = {Alfridi MF},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-62788-6},
url = {https://doi.org/10.1038/s41598-026-62788-6}
}RIS
TY - JOUR TI - A deep-learning based gait classification and anomaly detection framework for healthcare surveillance. AU - Alfridi MF PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-62788-6 UR - https://doi.org/10.1038/s41598-026-62788-6 ER -
APA
MF, A. (2026). A deep-learning based gait classification and anomaly detection framework for healthcare surveillance.. Scientific reports. https://doi.org/10.1038/s41598-026-62788-6
Source records
- pubmed · retrieved 2026-09-26T07:11:48.162Z