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A Novel CNN-based Bi-LSTM parallel model with attention mechanism for human activity recognition with noisy data
Boosted by mobile communication technologies, Human Activity Recognition (HAR) based on smartphones has attracted more and more attentions of researchers. One of the main challenges is the classification time and accuracy in processing long-time dependent sequence samples with noisy or missed data....
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9097568/ https://www.ncbi.nlm.nih.gov/pubmed/35550570 http://dx.doi.org/10.1038/s41598-022-11880-8 |