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Many diseases affect human movement functions and daily living. In order to recover the ability of movement, rehabilitation is the only way to improve the situation for many clients. Therefore, this study proposed a novel robot with brain-computer interface for rehabilitation exercises, namely BCRS (Brian-Controlled Rehabilitation System) and using multiple kernel learning (MKL) trains the classifier...
We present a novel one-class classification method called conformal-kernel support vector data description (CK-SVDD) for P300 speller brain-computer interface (BCI). The CK-SVDD has lower computational complexity than the widely-used SVM, and better classification accuracy than both SVM and SVDD, thus being able to improve the usability of the P300 speller when it is used in an online mode. We also...
In this paper, we propose a novel approach to generate artificial outliers for support vector data description with boundary value method. In SVDD, the width parameter S and the penalty parameter C influence the learning results. The N-fold M times cross-validation is well-known and popular scheme to calculate the best (C, S) values. To automatically optimize the identification rate, we need more...
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