Recognition of Motor Imagery EEG Signals Based on Capsule Network

Recognition of Motor Imagery EEG Signals Based on Capsule Network

In order to fully extract the temporal and spatial features contained in motor imagery electroencephalography (EEG) signals for effective identification of motor imagery, a three-dimensional capsule network (3D-CapsNet) EEG signal recognition model is proposed, which can integrate the MI-EEG tempora...

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Bibliographic Details
Main Authors: Xiuli Du, Meiya Kong, Shaoming Qiu, Jiangyu Guo, Yana Lv
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Electroencephalography
motor imagery
3D convolution
capsule network
individual differences
Online Access:https://ieeexplore.ieee.org/document/10081310/

Internet

https://ieeexplore.ieee.org/document/10081310/

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