Ensemble Learning to EEG-Based Brain Computer Interfaces with Applications on P300-Spellers

• Published in: Conference proceedings - IEEE International Conference on Systems, Man, and Cybernetics pp. 631 - 638
• Main Authors: Barsim, Karim Said, Zheng, Wangbo, Yang, Bin
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.10.2018
• Subjects: Brain Computer Interfaces (BCI); Convolutional Neural Networks (CNN); Electroencephalography (EEG); Ensemble Learning; Interleaved Group Convolutions (IGC); Support Vector Machines (SVM)

Brain-Computer Interfaces (BCI) are systems in which the electrical activity of an animal brain becomes the main controller of an external electronic device capable of reading and processing electroencephalographic (EEG) signals. One early application of such systems is the attention-based spellers...