Towards Secure and Efficient Human Fall Detection: Sensor-Visual Fusion via Gramian Angular Field with Federated CNN
This article presents a human fall detection system that addresses two critical challenges: privacy preservation and detection accuracy. We propose a comprehensive framework that integrates state-of-the-art machine learning m... | Find, read and cite all the research you need on Tech Science Press
Authors
- Mufti Mahmud (ORCID: https://orcid.org/0000-0002-2037-8348)
- Md Mahfuzur Rahman (ORCID: https://orcid.org/0000-0001-8330-5093)
- Md. Sabir Hossain (ORCID: https://orcid.org/0000-0003-4545-6872)
Publication Details
- Journal
- Computer Modeling in Engineering & Sciences
- Published
- 2025-01-01
- DOI
- https://doi.org/10.32604/cmes.2025.068779
- Primary Topic
- Context-Aware Activity Recognition Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00