Real-Time Risk Assessment Detection for Weak People by Parallel Training Logical Execution of a Supervised Learning System Based on an IoT Wearable MEMS Accelerometer

Activity monitoring has become a necessary demand for weak people to guarantee their safety. The paper proposed a Parallel Training Logical Execution (PTLE) system using machine learning (ML) models on a microelectromechanical system (MEMS) accelerometer to detect coughs, falls, and other normal act...

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Detalles Bibliográficos
Autores principales: Hoang, Minh Long, Nkembi, Armel Asongu, Pham, Phuong Ly
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919808/
https://www.ncbi.nlm.nih.gov/pubmed/36772556
http://dx.doi.org/10.3390/s23031516

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919808/
https://www.ncbi.nlm.nih.gov/pubmed/36772556
http://dx.doi.org/10.3390/s23031516

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