Cargando…
Combining multiple features for error detection and its application in brain–computer interface
BACKGROUND: Brain–computer interface (BCI) is an assistive technology that conveys users’ intentions by decoding various brain activities and translating them into control commands, without the need of verbal instructions and/or physical interactions. However, errors existing in BCI systems affect t...
Autores principales: | Tong, Jijun, Lin, Qinguang, Xiao, Ran, Ding, Lei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4743193/ https://www.ncbi.nlm.nih.gov/pubmed/26846163 http://dx.doi.org/10.1186/s12938-016-0134-9 |
Ejemplares similares
-
Multi-phase cycle coding for SSVEP based brain-computer interfaces
por: Tong, Jijun, et al.
Publicado: (2015) -
Personalized Brain–Computer Interface and Its Applications
por: Ma, Yixin, et al.
Publicado: (2022) -
Novel Features for Brain-Computer Interfaces
por: Woon, W. L., et al.
Publicado: (2007) -
The combination of brain-computer interfaces and artificial intelligence: applications and challenges
por: Zhang, Xiayin, et al.
Publicado: (2020) -
Editorial: Brain-computer interface and its applications
por: Chen, Duo, et al.
Publicado: (2023)