Radar Sensing for Activity Classification in Elderly People Exploiting Micro-Doppler Signatures Using Machine Learning

The health status of an elderly person can be identified by examining the additive effects of aging along with disease linked to it and can lead to ‘unstable incapacity’. This health status is determined by the apparent decline of independence in activities of daily living (ADLs). Detecting ADLs pro...

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Detalles Bibliográficos
Autores principales: Taylor, William, Dashtipour, Kia, Shah, Syed Aziz, Hussain, Amir, Abbasi, Qammer H., Imran, Muhammad A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8200051/
https://www.ncbi.nlm.nih.gov/pubmed/34199814
http://dx.doi.org/10.3390/s21113881

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8200051/
https://www.ncbi.nlm.nih.gov/pubmed/34199814
http://dx.doi.org/10.3390/s21113881

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