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A Human Activity Recognition Algorithm Based on Stacking Denoising Autoencoder and LightGBM
Recently, the demand for human activity recognition has become more and more urgent. It is widely used in indoor positioning, medical monitoring, safe driving, etc. Existing activity recognition approaches require either the location information of the sensors or the specific domain knowledge, which...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2019
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6412893/ https://ncbi.nlm.nih.gov/pubmed/30813418 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19040947 |
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