Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on...
Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on Wearable sEMG Sensors
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Publisher
Switzerland: MDPI AG
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Language
English
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Publisher
Switzerland: MDPI AG
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Contents
As an essential subfield of context awareness, activity awareness, especially daily activity monitoring and fall detection, plays a significant role for elderly or frail people who need assistance in their daily activities. This study investigates the feature extraction and pattern recognition of surface electromyography (sEMG), with the purpose of...
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Full title
Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on Wearable sEMG Sensors
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TN_cdi_doaj_primary_oai_doaj_org_article_e3bb312743c94e4eab776f27696a53c8
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e3bb312743c94e4eab776f27696a53c8
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s17061229
