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Deep Recurrent Neural Networks for Human Activity Recognition
Adopting deep learning methods for human activity recognition has been effective in extracting discriminative features from raw input sequences acquired from body-worn sensors. Although human movements are encoded in a sequence of successive samples in time, typical machine learning methods perform...
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| Publicado no: | Sensors (Basel) |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5712979/ https://ncbi.nlm.nih.gov/pubmed/29113103 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s17112556 |
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