Feature Extraction and Classification of EEG Signals Using Wavelet Transform, SVM and Artificial Neural Networks for Brain Computer Interfaces.
Mohammad Reza Nazari KousarriziAbdolreza Asadi GhanbariMohammad TeshnehlabMahdi Aliyari ShoorehdeliAli GharaviriPublished in: IJCBS (2009)
Keyphrases
- feature extraction and classification
- eeg signals
- wavelet transform
- artificial neural networks
- feature extraction
- brain computer interface
- support vector machine svm
- extracted features
- support vector
- pattern recognition
- feature vectors
- signal processing
- svm classifier
- texture classification
- multiresolution
- feature selection
- multiscale
- support vector machine
- healthy subjects
- knn
- brain signals
- neural network
- feature space
- image processing
- preprocessing
- principle component analysis
- brain activity
- eeg data
- motor imagery
- svm classification
- back propagation
- vehicle detection
- kernel function
- dimensionality reduction
- dimension reduction
- face recognition
- image classification
- evoked potentials
- machine learning
- principal component analysis
- training data
- support vectors
- texture analysis
- feature set
- training set
- image segmentation
- event related potentials
- local binary pattern
- image features