Smart indoor monitoring for disabled individuals using an ensemble of deep learning models in an IoT environment

Abstract Indoor activity monitoring methods assurance the well-being and security of disabled and aging individuals living in their homes. These models utilize numerous technologies and sensors to monitor day-to-day work like movement, medication adherence, and sleep patterns, and provide valued per...

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Bibliographic Details
Main Authors: Faisal S. Alsubaei, Abdulrahman A. Alshdadi, Mohammed Rizwanullah
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-00374-y
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