Feature consistency-based model adaptation in session-to-session classification: A study using motor imagery of swallow EEG signals.
Huijuan YangCuntai GuanKai Keng AngChuanchu WangKok Soon PhuaChristina Tang Ka YinLongjiang ZhouPublished in: EMBC (2013)
Keyphrases
- eeg signals
- motor imagery
- brain computer interface
- signal processing
- healthy subjects
- eeg data
- kernel density estimators
- online training
- classification accuracy
- brain activity
- extracted features
- brain signals
- feature set
- feature vectors
- feature selection
- machine learning
- pattern classification
- distance measure
- support vector
- computer vision