Smartphone Motion Sensor-Based Complex Human Activity Identification Using Deep Stacked Autoencoder Algorithm for Enhanced Smart Healthcare System

Human motion analysis using a smartphone-embedded accelerometer sensor provided important context for the identification of static, dynamic, and complex sequence of activities. Research in smartphone-based motion analysis are implemented for tasks, such as health status monitoring, fall detection an...

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Detalles Bibliográficos
Autores principales: Alo, Uzoma Rita, Nweke, Henry Friday, Teh, Ying Wah, Murtaza, Ghulam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663988/
https://www.ncbi.nlm.nih.gov/pubmed/33167424
http://dx.doi.org/10.3390/s20216300

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7663988/
https://www.ncbi.nlm.nih.gov/pubmed/33167424
http://dx.doi.org/10.3390/s20216300

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