Investigation of window size in classification of EEG-emotion signal with wavelet entropy and support vector machine.
Henry CandraMitchell YuwonoRifai ChaiArdi HandojosenoIrraivan ElamvazuthiHung T. NguyenSteven W. SuPublished in: EMBC (2015)
Keyphrases
- support vector machine
- window size
- classification method
- svm classifier
- support vector machine svm
- feature vectors
- classification algorithm
- support vector
- sliding window
- signal processing
- svm classification
- pattern recognition
- high classification accuracy
- eeg signals
- feature selection
- text classification
- training data
- training set
- machine learning
- classification accuracy
- feature space
- wavelet analysis
- generalization ability
- wavelet packet transform
- image classification
- multi class
- decision trees
- wavelet transform
- decision boundary
- power quality disturbance
- multiresolution
- frequency domain
- wavelet kernel
- pattern classification
- feature extraction
- fixed size
- wavelet packet
- radial basis function
- non stationary
- denoising
- soft threshold
- binary decision tree