A deep-learning based gait classification and anomaly detection framework for healthcare surveillance
Crossref DOI link: https://doi.org/10.1038/s41598-026-62788-6
Published Online: 2026-07-17
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Alfridi, Mohammad F.
Text and Data Mining valid from 2026-07-17
Accepted Manuscript valid from 2026-07-17
Article History
Received: 15 March 2026
Accepted: 14 July 2026
First Online: 17 July 2026
Declarations
Competing interests: The authors declare no competing interests.