A multi-target c-VEP-based BCI speller utilizing n-gram word prediction and filter bank classification.
Felix GemblerMihaly BendaAbdul SaboorIvan VolosyakPublished in: SMC (2019)
Keyphrases
- n gram
- brain computer interface
- filter bank
- motor imagery
- text classification
- eeg signals
- multi target
- signal processing
- language model
- eeg data
- bag of words
- pattern recognition
- feature vectors
- healthy subjects
- subband
- variable length
- word segmentation
- multiresolution
- multiscale
- classification accuracy
- prediction accuracy
- image classification
- multi sensor
- knn
- machine learning
- feature extraction
- feature selection
- frequency domain
- ensemble methods
- multi camera
- web documents
- naive bayes
- decision trees