User-Independent SSVEP BCI Using Complex FFT Features and CNN Classification.
Aravind RaviNargess HeydariNing JiangPublished in: SMC (2019)
Keyphrases
- brain computer interface
- eeg signals
- feature vectors
- classification accuracy
- feature extraction
- feature set
- motor imagery
- classification models
- feature space
- classification process
- classification method
- eeg data
- benchmark datasets
- signal processing
- rich set
- svm classifier
- extracted features
- extracting features
- pattern recognition
- spectral features
- single trial
- convolutional neural network
- machine learning
- class labels
- feature subset
- feature representation
- discriminative features
- feature analysis
- healthy subjects
- computer vision
- false positives
- user interaction
- image features
- support vector machine
- high dimensionality
- end users
- active learning
- knn
- learning algorithm
- feature selection
- decision trees
- high level
- training data
- relevance feedback
- image classification
- classification algorithm
- fourier transform