Deep Recurrent Neural Networks for Human Activity Recognition

Adopting deep learning methods for human activity recognition has been effective in extracting discriminative features from raw input sequences acquired from body-worn sensors. Although human movements are encoded in a sequence of successive samples in time, typical machine learning methods perform...

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Detalles Bibliográficos
Autores principales: Murad, Abdulmajid, Pyun, Jae-Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712979/
https://www.ncbi.nlm.nih.gov/pubmed/29113103
http://dx.doi.org/10.3390/s17112556

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712979/
https://www.ncbi.nlm.nih.gov/pubmed/29113103
http://dx.doi.org/10.3390/s17112556

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