Abstract
In this paper, we propose an improved filter selection method using Welch's t-test based on discriminative filter bank common spatial pattern (DFBCSP). Existing DFBCSP used the Fisher ratio in order to find out discriminative filters. However, the Fisher ratio can be used to know only comparative value of distinguishability but may not become a meaningful criterion to reject null hypothesis. As a reasonable alternative, we have introduced the Welch's t-test to find out not only contributory but also redundant filters used to classify features efficiently. Experimental results show that the classification accuracy increased by 1.28% on average when using the proposed filter selection method.
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