Evaluation of Feature Extraction and Recognition for Activity Monitoring and Fall Detection Based on Wearable sEMG Sensors

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 su...

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Detalles Bibliográficos
Autores principales: Xi, Xugang, Tang, Minyan, Miran, Seyed M., Luo, Zhizeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492463/
https://www.ncbi.nlm.nih.gov/pubmed/28555016
http://dx.doi.org/10.3390/s17061229

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492463/
https://www.ncbi.nlm.nih.gov/pubmed/28555016
http://dx.doi.org/10.3390/s17061229

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