A Prototype SSVEP Based Real Time BCI Gaming System

Table 1

Comparison of classification accuracy.

Classifier	Features	Accuracy, %		score
		S1	S2	S1	S2
LDA	WAT	71.5	78.2	0.64	0.67
	BP	66.2	73.2	0.56	0.62
sLDA	WAT	70.6	77.4	0.64	0.68
	BP	68.4	73.5	0.59	0.61
SVM, linear kernel	WAT	75.5	79.3	0.64	0.68
	BP	74.3	75.1	0.64	0.66
SVM, RBF kernel	WAT	78.7	82.2	0.68	0.71
	BP	74.0	77.4	0.63	0.67

S1: subject number 1, S2: subject number 2, LDA: linear discriminant analysis, sLDA: sparse LDA, SVM: support vector machine, RBF: radial basis function, WAT: wave atom transform, and BP: band power.