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Comparison of Feature Learning Methods for Human Activity Recognition Using Wearable Sensors
Getting a good feature representation of data is paramount for Human Activity Recognition (HAR) using wearable sensors. An increasing number of feature learning approaches—in particular deep-learning based—have been proposed to extract an effective feature representation by analyzing large amounts o...
| 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/PMC5855052/ https://www.ncbi.nlm.nih.gov/pubmed/29495310 http://dx.doi.org/10.3390/s18020679 |