In this paper, we proposed a novel regularized CSP (RCSP) method to optimize feature extraction in MI-BCI. Then, a robust classifier based on AdaBoost algorithm ...

Abstract—One of the popular feature extraction algorithms for motor imagery (MI)-based brain-computer interface (BCI) is common spatial pattern (CSP).

Miao et al. (2019) proposed a novel RCSP method to optimize feature extraction and perform MI-BCI classification using the AdaBoost algorithm. A novel ...

A novel regularized CSP (RCSP) method to optimize feature extraction in MI-BCI was proposed and improved classification performance, but also reduced the ...

Sep 8, 2023 · Improved RCSP and AdaBoost-based classification for Motor-Imagery BCI. In: 2019 IEEE International Conference on Computational Intelligence ...

Compared with other methods, the proposed method can improve the classification accuracy and provide a new idea for the study of motor imagery brain-computer ...

Improved RCSP and AdaBoost-based classification for motor-imagery BCI. In Proceedings of the 2019 IEEE International Conference on Computational ...

We design an upper triangle filter bank to determine discriminative frequency components and apply the common spatial pattern to extract spatial features from ...

Jun 2, 2023 · Miao et al. (2019) proposed a novel RCSP method to optimize feature extraction and perform MI-BCI classification using the AdaBoost algorithm. A ...

This paper proposes a novel framework based on Bispectrum, Entropy and common spatial pattern (BECSP). Here we use three methods of bispectrum in higher order ...