Semi-supervised Deep Learning in Motor Imagery-Based Brain-Computer Interfaces with Stacked Variational Autoencoder

Recently, deep learning methods have contributed to the development of motor imagery (MI) based brain-computer interface (BCI) research. However, these methods typically focused on supervised deep learning with the labelled data and failed to learn from the unlabelled data, where additional informat...

Full description

Bibliographic Details

Published in:	Journal of physics. Conference series Vol. 1631; no. 1; pp. 12007 - 12014
Main Authors:	Chen, Junjian, Yu, Zhuliang, Gu, Zhenghui
Format:	Journal Article
Language:	English
Published:	Bristol IOP Publishing 01.09.2020
Subjects:	Deep learning Electroencephalography Human-computer interface Imagery Physics Semi-supervised learning Teaching methods
ISSN:	1742-6588, 1742-6596
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!