Motor imaginary task classification using statistically significant time-domain EEG features.
Mürside DegirmenciYilmaz Kemal YüceYalçin IslerPublished in: SIU (2022)
Keyphrases
- statistically significant
- eeg signals
- feature set
- feature vectors
- classification accuracy
- feature extraction
- control group
- extracted features
- statistical tests
- learning styles
- feature space
- statistical significance
- spectral features
- attitudes toward
- pearson correlation
- computer literacy
- text classification
- high dimensionality
- model selection
- support vector
- motor imagery
- machine learning
- online course
- computer assisted instruction
- training data