Wearable Fall Detector Using Recurrent Neural Networks

Falls have become a relevant public health issue due to their high prevalence and negative effects in elderly people. Wearable fall detector devices allow the implementation of continuous and ubiquitous monitoring systems. The effectiveness for analyzing temporal signals with low energy consumption...

Descripción completa

Detalles Bibliográficos
Autores principales: Luna-Perejón, Francisco, Domínguez-Morales, Manuel Jesús, Civit-Balcells, Antón
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891713/
https://www.ncbi.nlm.nih.gov/pubmed/31717442
http://dx.doi.org/10.3390/s19224885

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891713/
https://www.ncbi.nlm.nih.gov/pubmed/31717442
http://dx.doi.org/10.3390/s19224885

Ejemplares similares