Coarse-Fine Convolutional Deep-Learning Strategy for Human Activity Recognition

In the last decade, deep learning techniques have further improved human activity recognition (HAR) performance on several benchmark datasets. This paper presents a novel framework to classify and analyze human activities. A new convolutional neural network (CNN) strategy is applied to a single user...

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Detalles Bibliográficos
Autores principales: Avilés-Cruz, Carlos, Ferreyra-Ramírez, Andrés, Zúñiga-López, Arturo, Villegas-Cortéz, Juan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6480225/
https://www.ncbi.nlm.nih.gov/pubmed/30935117
http://dx.doi.org/10.3390/s19071556

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6480225/
https://www.ncbi.nlm.nih.gov/pubmed/30935117
http://dx.doi.org/10.3390/s19071556

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