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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5712979/ https://www.ncbi.nlm.nih.gov/pubmed/29113103 http://dx.doi.org/10.3390/s17112556 |