Research progress and prospect of collaborative brain-computer interface for group brain collaboration / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 409-416, 2021.
Artigo
em Chinês
| WPRIM
| ID: wpr-888196
ABSTRACT
As the most common active brain-computer interaction paradigm, motor imagery brain-computer interface (MI-BCI) suffers from the bottleneck problems of small instruction set and low accuracy, and its information transmission rate (ITR) and practical application are severely limited. In this study, we designed 6-class imagination actions, collected electroencephalogram (EEG) signals from 19 subjects, and studied the effect of collaborative brain-computer interface (cBCI) collaboration strategy on MI-BCI classification performance, the effects of changes in different group sizes and fusion strategies on group multi-classification performance are compared. The results showed that the most suitable group size was 4 people, and the best fusion strategy was decision fusion. In this condition, the classification accuracy of the group reached 77%, which was higher than that of the feature fusion strategy under the same group size (77.31%
Texto completo:
DisponíveL
Índice:
WPRIM (Pacífico Ocidental)
Assunto principal:
Encéfalo
/
Imagens, Psicoterapia
/
Eletroencefalografia
/
Interfaces Cérebro-Computador
/
Imaginação
Limite:
Humanos
Idioma:
Chinês
Revista:
Journal of Biomedical Engineering
Ano de publicação:
2021
Tipo de documento:
Artigo
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