Manifold Learning-Based Subspace Method for Motor Imagery EEG Classification in BrainComputer Interface.
C. Sivananda ReddyRamasubba Reddy MachireddyPublished in: M2VIP (2023)
Keyphrases
- motor imagery
- manifold learning
- eeg signals
- subspace methods
- brain computer interface
- eeg data
- dimension reduction
- low dimensional
- dimensionality reduction
- blind source separation
- feature extraction
- principal component analysis
- semi supervised
- high dimensional
- high dimensional data
- feature space
- pattern recognition
- linear discriminant analysis
- unsupervised learning
- neural network
- multiscale
- subspace learning
- image processing
- image classification
- classification accuracy
- machine learning