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Hidden Markov Model and Support Vector Machine based decoding of finger movements using Electrocorticography
OBJECTIVE: Support Vector Machines (SVM) have developed into a gold standard for accurate classification in Brain-Computer-Interfaces (BCI). The choice of the most appropriate classifier for a particular application depends on several characteristics in addition to decoding accuracy. Here we investi...
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| Principais autores: | , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3901317/ https://ncbi.nlm.nih.gov/pubmed/24045504 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/1741-2560/10/5/056020 |
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