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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Materias: | |
| 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 |