A data driven Information theoretic feature extraction in EEG-based Motor Imagery BCI.
Ji-Hack LeeYoung-Seok ChoiPublished in: ICTC (2019)
Keyphrases
- information theoretic
- motor imagery
- data driven
- feature extraction
- brain computer interface
- mutual information
- information theory
- eeg signals
- theoretic framework
- feature vectors
- feature selection
- information bottleneck
- eeg data
- online training
- dimensionality reduction
- pattern recognition
- pattern classification
- spinal cord injury
- jensen shannon divergence
- information theoretic measures
- extracted features
- face recognition
- kullback leibler divergence
- relative entropy
- brain signals
- image processing
- feature fusion
- entropy measure
- healthy subjects
- gabor filters
- kl divergence
- texture features
- feature set
- principal component analysis
- brain activity
- machine learning
- high dimensional
- similarity measure
- computer vision