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Convolutional and recurrent neural network for human activity recognition: Application on American sign language
Human activity recognition is an important and difficult topic to study because of the important variability between tasks repeated several times by a subject and between subjects. This work is motivated by providing time-series signal classification and a robust validation and test approaches. This...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7029868/ https://www.ncbi.nlm.nih.gov/pubmed/32074124 http://dx.doi.org/10.1371/journal.pone.0228869 |