Guider: a GUI for Semiautomatic, Physiologically Driven EEG Feature Selection for a Rehabilitation BCI.
Emma ColamarinoFloriana PichiorriFrancesca SchettiniMara MartinoiaDonatella MattiaFebo CincottiPublished in: GBCIC (2017)
Keyphrases
- semi automatic
- brain computer interface
- spinal cord injury
- feature selection
- motor imagery
- motor learning
- fully automatic
- healthy subjects
- brain signals
- signal processing
- eeg signals
- gold standard
- user friendly
- eeg data
- evoked potentials
- text categorization
- event related
- domain ontology
- feature selection algorithms
- single trial
- text classification
- mutual information
- event related potentials
- graphical user interfaces
- graphical user interface
- classification accuracy
- feature extraction
- machine learning
- user interface
- image processing
- support vector
- brain injury
- irrelevant features
- medical knowledge
- support vector machine
- feature set
- virtual reality
- feature space
- brain activity
- knowledge representation