Work

Integrating Attention Mechanisms in YOLOv8 for Improved Fall Detection Performance

Year: 2025

Type: article

Abstract: 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

Source: Computers, materials & continua/Computers, materials & continua (Print)

DOI: 10.32604/cmc.2025.061948

Authors: Nizar Zaghden, Emad Ibrahim, Mukaram Safaldin, Mahmoud Mejdoub

Institutions: University of Sfax, Faculty of Sciences of Sfax

Language: English

Topic: Context-Aware Activity Recognition Systems

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

Funder: Université de Sfax

OpenAlex ID: W4408838738