Effects of Data Including Visual Presentation and Rest Time on Classification of Motor Imagery of Using Brain-Computer Interface Competition Datasets.
Kento SuemitsuIsao NambuPublished in: IEEE Access (2023)
Keyphrases
- motor imagery
- brain computer interface
- eeg data
- eeg signals
- computer vision
- data analysis
- feature selection
- training data
- event related
- classification accuracy
- brain activity
- evoked potentials
- machine learning
- image classification
- signal processing
- training set
- pattern recognition
- feature extraction
- learning algorithm