| Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2017: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2016: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2015: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
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| Outline of Final Research Achievements |
We have introduced a metric structure on Grassmannian defined by pattern data, and applied it to brain signal processing. Our experimental results using open benchmark dataset shows that the proposed method exhibited significantly higher classification performance than conventional methods. Especially, the combination of the proposed method and CSSSP method, which is the extension of common spatial pattern (CSP) filter method, exhibited the best performance. Furthermore, we also proposed a method to select electrodes location and design a classifier simultaneously in brain signal classification problems using criteria of classification performance and sparse regularization based on the Bayes estimation.
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