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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...
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| Gepubliceerd in: | PLoS One |
|---|---|
| Hoofdauteurs: | , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
Public Library of Science
2020
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7029868/ https://ncbi.nlm.nih.gov/pubmed/32074124 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0228869 |
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