Motor Imagery EEG Classification Using Capsule Networks
Various convolutional neural network (CNN)-based approaches have been recently proposed to improve the performance of motor imagery based-brain-computer interfaces (BCIs). However, the classification accuracy of CNNs is compromised when target data are distorted. Specifically for motor imagery elect...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-06-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/13/2854 |