Research Article
Development of a Novel Motor Imagery Control Technique and Application in a Gaming Environment
Table 4
The mean accuracy of classification from four classifiers based on two kinds of feature extraction.
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The classification results from four classifiers indicated that cspW_IC produced more quality features than cspW_Data. To investigate the statistical significance of the accuracies, we performed an analysis of variance (ANOVA) on each player’s result based on all classification accuracies (10 runs of the 10 × 10-fold cross-validation procedure). The -value from SWNN was 0.008, 0.042 from RBF neural network, 0.038 from BP neural network, and 0.019 from LS-SVM. These -values were leass than 0.05 for all players, which indicated that the difference was significant. |