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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...
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| Wydane w: | Sensors (Basel) |
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| Główni autorzy: | , , , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
MDPI
2018
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5855052/ https://ncbi.nlm.nih.gov/pubmed/29495310 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18020679 |
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