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A brain machine interface framework for exploring proactive control of smart environments

Abstract Brain machine interfaces (BMIs) can substantially improve the quality of life of elderly or disabled people. However, performing complex action sequences with a BMI system is onerous because it requires issuing commands sequentially. Fundamentally different from this, we have designed a BMI...

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Detalhes bibliográficos
Principais autores: Jan-Matthias Braun, Michael Fauth, Michael Berger, Nan-Sheng Huang, Ezequiel Simeoni, Eugenio Gaeta, Ricardo Rodrigues do Carmo, Rebeca I. García-Betances, María Teresa Arredondo Waldmeyer, Alexander Gail, Jørgen C. Larsen, Poramate Manoonpong, Christian Tetzlaff, Florentin Wörgötter
Formato: Artigo
Idioma:Inglês
Publicado em: Nature Portfolio 2024-05-01
coleção:Scientific Reports
Acesso em linha:https://doi.org/10.1038/s41598-024-60280-7
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