Cargando…
Overlapped Partitioning for Ensemble Classifiers of P300-Based Brain-Computer Interfaces
A P300-based brain-computer interface (BCI) enables a wide range of people to control devices that improve their quality of life. Ensemble classifiers with naive partitioning were recently applied to the P300-based BCI and these classification performances were assessed. However, they were usually t...
Autores principales: | Onishi, Akinari, Natsume, Kiyohisa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3973688/ https://www.ncbi.nlm.nih.gov/pubmed/24695550 http://dx.doi.org/10.1371/journal.pone.0093045 |
Ejemplares similares
-
Affective Stimuli for an Auditory P300 Brain-Computer Interface
por: Onishi, Akinari, et al.
Publicado: (2017) -
An Evaluation of Training with an Auditory P300 Brain-Computer Interface for the Japanese Hiragana Syllabary
por: Halder, Sebastian, et al.
Publicado: (2016) -
A Fuzzy Integral Ensemble Method in Visual P300 Brain-Computer Interface
por: Cavrini, Francesco, et al.
Publicado: (2016) -
A Tactile P300 Brain-Computer Interface
por: Brouwer, Anne-Marie, et al.
Publicado: (2010) -
How Does the Degree of Valence Influence Affective Auditory P300-Based BCIs?
por: Onishi, Akinari, et al.
Publicado: (2019)