Stochastic Recognition of Human Physical Activities via Augmented Feature Descriptors and Random Forest Model

Human physical activity recognition from inertial sensors is shown to be a successful approach for monitoring elderly individuals and children in indoor and outdoor environments. As a result, researchers have shown significant interest in developing state-of-the-art machine learning methods capable...

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Detalles Bibliográficos
Autores principales: Tahir, Sheikh Badar ud din, Dogar, Abdul Basit, Fatima, Rubia, Yasin, Affan, Shafiq, Muhammad, Khan, Javed Ali, Assam, Muhammad, Mohamed, Abdullah, Attia, El-Awady
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460245/
https://www.ncbi.nlm.nih.gov/pubmed/36081091
http://dx.doi.org/10.3390/s22176632

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460245/
https://www.ncbi.nlm.nih.gov/pubmed/36081091
http://dx.doi.org/10.3390/s22176632

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