Classification of familiarity based on cross-correlation features between EEG and music.
Yuiko KumagaiMahnaz ArvanehHaruki OkawaTomoya WadaToshihisa TanakaPublished in: EMBC (2017)
Keyphrases
- cross correlation
- eeg signals
- feature vectors
- classification accuracy
- feature extraction
- feature set
- classification process
- classification method
- classification models
- svm classifier
- feature space
- frequency domain
- pattern recognition
- genre classification
- extracted features
- support vector machine
- mutual information
- spectral features
- class labels
- support vector
- template matching
- extracting features
- benchmark datasets
- feature analysis
- feature selection
- classification algorithm
- image features
- supervised learning
- low level
- feature values
- eeg data
- machine learning
- matching algorithm
- support vector machine svm
- image classification
- feature subset
- signal processing
- wavelet transform
- high quality
- similarity measure
- image processing