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Integrating language information with a hidden Markov model to improve communication rate in the P300 speller
The P300 speller is a common brain–computer interface (BCI) application designed to communicate language by detecting event related potentials in a subject’s electroencephalogram (EEG) signal. Information about the structure of natural language can be valuable for BCI communication systems, but few...
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| Asıl Yazarlar: | , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2014
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4205234/ https://ncbi.nlm.nih.gov/pubmed/24760927 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TNSRE.2014.2300091 |
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