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Efficient human-machine control with asymmetric marginal reliability input devices
Input devices such as motor-imagery brain-computer interfaces (BCIs) are often unreliable. In theory, channel coding can be used in the human-machine loop to robustly encapsulate intention through noisy input devices but standard feedforward error correction codes cannot be practically applied. We p...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7263597/ https://ncbi.nlm.nih.gov/pubmed/32479507 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0233603 |
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