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Divide and Conquer-Based 1D CNN Human Activity Recognition Using Test Data Sharpening †
Human Activity Recognition (HAR) aims to identify the actions performed by humans using signals collected from various sensors embedded in mobile devices. In recent years, deep learning techniques have further improved HAR performance on several benchmark datasets. In this paper, we propose one-dime...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2018
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5949027/ https://www.ncbi.nlm.nih.gov/pubmed/29614767 http://dx.doi.org/10.3390/s18041055 |