Cargando…
A Novel Quick-Response Eigenface Analysis Scheme for Brain–Computer Interfaces
The brain–computer interface (BCI) is used to understand brain activities and external bodies with the help of the motor imagery (MI). As of today, the classification results for EEG 4 class BCI competition dataset have been improved to provide better classification accuracy of the brain computer in...
Autores principales: | Choi, Hojong, Park, Junghun, Yang, Yeon-Mo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9370919/ https://www.ncbi.nlm.nih.gov/pubmed/35957420 http://dx.doi.org/10.3390/s22155860 |
Ejemplares similares
-
Whitening Technique Based on Gram–Schmidt Orthogonalization for Motor Imagery Classification of Brain–Computer Interface Applications
por: Choi, Hojong, et al.
Publicado: (2022) -
Eigenfaces-Based Steganography
por: Hachaj, Tomasz, et al.
Publicado: (2021) -
Low-Rank and Eigenface Based Sparse Representation for Face Recognition
por: Hou, Yi-Fu, et al.
Publicado: (2014) -
Correction: Low-Rank and Eigenface Based Sparse Representation for Face Recognition
Publicado: (2015) -
Steady-State Visual Evoked Potential-Based Brain–Computer Interface Using a Novel Visual Stimulus with Quick Response (QR) Code Pattern
por: Siribunyaphat, Nannaphat, et al.
Publicado: (2022)