Multimodal intelligent biosensors framework for fall disease detection and healthcare monitoring

Multimodal intelligent biosensors framework for fall disease detection and healthcare monitoring

IntroductionIn the field of human action recognition, the fusion of multi-modal data from RGB and inertial modalities provides a valid technique for identifying activities of daily life and falls.MethodsOur approach uses two reference datasets: UR-Fall Detection and UMA_Fall Detection for ADL and Fa...

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Bibliographic Details
Main Authors: Iqra Aijaz Abro, Shuaa S. Alharbi, Naif S. Alshammari, Asaad Algarni, Nouf Abdullah Almujally, Ahmad Jalal, Hui Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-06-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
biosensing devices
artificial intelligence
machine learning
body pose
disease detection
decision-making
Online Access:https://www.frontiersin.org/articles/10.3389/fbioe.2025.1544968/full
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