Prediction of Individual User's Dynamic Ranges of EEG Features from Resting-State EEG Data for Evaluating Their Suitability for Passive Brain-Computer Interface Applications.
Ho-Seung ChaChanghee HanChang-Hwan ImPublished in: Sensors (2020)
Keyphrases
- brain computer interface
- eeg data
- eeg signals
- healthy subjects
- brain activity
- motor imagery
- spectral features
- signal processing
- brain signals
- individual user
- independent component analysis
- event related
- user behavior
- event related potentials
- single trial
- evoked potentials
- feature set
- feature extraction
- high degree of accuracy
- feature vectors
- feature space
- visuo motor
- machine learning
- extracted features
- motor learning