Radar Sensing for Activity Classification in Elderly People Exploiting Micro-Doppler Signatures Usin...
Radar Sensing for Activity Classification in Elderly People Exploiting Micro-Doppler Signatures Using Machine Learning
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Contents
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 provides possibilities of improving the home life of...
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Full title
Radar Sensing for Activity Classification in Elderly People Exploiting Micro-Doppler Signatures Using Machine Learning
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TN_cdi_doaj_primary_oai_doaj_org_article_cbb01087b4f74c038b0345c7eefc382d
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cbb01087b4f74c038b0345c7eefc382d
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s21113881
