Accelerometer-Based Human Fall Detection Using Convolutional Neural Networks

Human falls are a global public health issue resulting in over 37.3 million severe injuries and 646,000 deaths yearly. Falls result in direct financial cost to health systems and indirectly to society productivity. Unsurprisingly, human fall detection and prevention are a major focus of health resea...

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Detalles Bibliográficos
Autores principales: Santos, Guto Leoni, Endo, Patricia Takako, Monteiro, Kayo Henrique de Carvalho, Rocha, Elisson da Silva, Silva, Ivanovitch, Lynn, Theo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6480090/
https://www.ncbi.nlm.nih.gov/pubmed/30959877
http://dx.doi.org/10.3390/s19071644

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6480090/
https://www.ncbi.nlm.nih.gov/pubmed/30959877
http://dx.doi.org/10.3390/s19071644

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