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An Elderly Fall Detection Method Based On Federated Learning and Extreme Learning Machine (Fed-ELM) by arif is a document available to read on EtoBox.

This paper presents a fall detection algorithm for the elderly that combines Federated Learning and Extreme Learning Machine (Fed-ELM) to address the challenges of limited fall data and privacy concerns. The proposed method improves algorithm performance by utilizing user-specific data while maintaining privacy through federated learning, achieving high accuracy rates of over 99% for elderly individuals. Experimental results demonstrate that the Fed-ELM algorithm outperforms traditional methods, making it a

Author

arif

Language

EN