Using a Novel LDA-Ensemble Framework to Classification of Motor Imagery Tasks for Brain-Computer Interface Applications.
Ching-Yu ChiuChih-Yu ChenYang-Yin LinShi-An ChenChin-Teng LinPublished in: ICS (2014)
Keyphrases
- motor imagery
- brain computer interface
- eeg signals
- eeg data
- machine learning
- single trial
- feature extraction
- healthy subjects
- pattern classification
- visuo motor
- computer screen
- event related
- high dimensional data
- signal processing
- classification accuracy
- probabilistic model
- hidden markov models
- training set
- face recognition
- feature selection