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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...
Shranjeno v:
| izdano v: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , , |
| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
MDPI
2021
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8200051/ https://ncbi.nlm.nih.gov/pubmed/34199814 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21113881 |
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