Comparison of Classification Methods for P300 Brain-Computer Interface on Disabled Subjects

Figure 3

Classification accuracy as a function of the number of intensifications, for every subject, and for all considered classifiers: Bayesian linear discriminant analysis (BLDA), Fisher’s linear discriminant analysis (LDA), stepwise linear discriminant analysis (SWLDA), a method based on feature extraction (FE), linear support vector machine (SVM), multilayer perceptron (NN), and Gaussian kernel support vector machine (nSVM).