Integrating Attention Mechanisms in YOLOv8 for Improved Fall Detection Performance
The increasing elderly population has heightened the need for accurate and reliable fall detection systems, as falls can lead to severe health complications. Existing systems often suffer from high false positive and false ne... | Find, read and cite all the research you need on Tech Science Press
Authors
- Nizar Zaghden (ORCID: https://orcid.org/0000-0001-6891-4149)
- Emad Ibrahim (ORCID: https://orcid.org/0009-0004-3092-2257)
- Mukaram Safaldin
- Mahmoud Mejdoub (ORCID: https://orcid.org/0000-0002-9442-5784)
Publication Details
- Journal
- Computers, materials & continua/Computers, materials & continua (Print)
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/cmc.2025.061948
- Citations
- 3
- Primary Topic
- Context-Aware Activity Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 3.83
Funders
- Université de Sfax