Speed Classification of Upper Limb Movements Through EEG Signal for BCI Application

Speed Classification of Upper Limb Movements Through EEG Signal for BCI Application

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Brain-Computer Interface (BCI) systems have obtained remarkable results in rehabilitation and robot control processes by converting brain signals into control commands. The quantity of movement speed is the fundamental issue in BCI that requires additional research. This paper investigated the class...

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Bibliographic Details
Main Authors: Sepideh Zolfaghari, Tohid Yousefi Rezaii, Saeed Meshgini, Ali Farzamnia, Liau Chung Fan
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Brain-computer interface (BCI)
convolution neural network (CNN)
electroencephalogram (EEG)
filter bank common spatial pattern (FBCSP)
movement speed
wavelet-common spatial pattern (W-CSP)
Online Access:https://ieeexplore.ieee.org/document/9504557/

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https://ieeexplore.ieee.org/document/9504557/

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