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This paper is in the following e-collection/theme issue:

Reviews on Innovation in Rehabilitation and Assistive Technologies (146) Assistive Technologies (274) Machine Learning (3376) Accident and Injury Prevention (82) AI Applications in Public Health (121) Implementation Science in Rehabilitation and Assistive Technologies (17)

Published on in Vol 13 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/100939, first published .
Lifeguard monitors pool cameras detecting drowning with AI alert

Advances in Machine Learning Paradigms for Reliable Swimming Pool Drowning Detection: Systematic Review of Methods and Implementations

Advances in Machine Learning Paradigms for Reliable Swimming Pool Drowning Detection: Systematic Review of Methods and Implementations

Authors of this article:

Mercy Chepkorir1 Author Orcid Image ;   Idah Orowe1 Author Orcid Image ;   Elisha Abade2 Author Orcid Image ;   Timothy Kamanu1 Author Orcid Image
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Mercy Chepkorir   1 * , MSc ;   Idah Orowe   1 * , PhD ;   Elisha Abade   2 , PhD ;   Timothy Kamanu   1 , PhD

1 Department of Mathematics, University of Nairobi, Nairobi, Kenya

2 Department of Computer Science, University of Nairobi, Nairobi, Kenya

*these authors contributed equally

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