Common Spatial Pattern and Riemannian Manifold-Based Real-Time Multiclass Motor Imagery EEG Classification

Common Spatial Pattern and Riemannian Manifold-Based Real-Time Multiclass Motor Imagery EEG Classification

Several motor imagery classification methods have been developed and achieve higher accuracy. Machine learning (ML) based algorithms utilizing manually designed features often encounter robustness issues, leading to diminished accuracy. While deep learning (DL) based algorithms exhibit promising acc...

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Bibliographic Details
Main Authors: Kuo-Kai Shyu, Szu-Chi Huang, Kai-Jen Tung, Lung-Hao Lee, Po-Lei Lee, Yu-Hao Chen
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Electroencephalograph
motor imagery
common spatial pattern
Riemannian tangent space
filter banks
support vector machine
Online Access:https://ieeexplore.ieee.org/document/10348559/

Internet

https://ieeexplore.ieee.org/document/10348559/

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