Principal component analysis and manifold learning techniques for the design of brain-computer interfaces based on steady-state visually evoked potentials.
Bartu YesilkayaEbru SayilganYilmaz Kemal YüceMatjaz PercYalçin IslerPublished in: J. Comput. Sci. (2023)
Keyphrases
- steady state
- brain computer interface
- manifold learning
- evoked potentials
- low dimensional
- principal component analysis
- dimensionality reduction
- markov chain
- dimension reduction
- feature extraction
- semi supervised
- face recognition
- high dimensional
- singular value decomposition
- independent component analysis
- feature space
- queue length
- face images
- signal processing
- information processing
- linear discriminant analysis
- multiscale
- queueing networks