An Unsupervised Deep-Transfer-Learning-Based Motor Imagery EEG Classification Scheme for Brain–Computer Interface

An Unsupervised Deep-Transfer-Learning-Based Motor Imagery EEG Classification Scheme for Brain–Computer Interface

Brain–computer interface (BCI) research has attracted worldwide attention and has been rapidly developed. As one well-known non-invasive BCI technique, electroencephalography (EEG) records the brain’s electrical signals from the scalp surface area. However, due to the non-stationary nature of the EE...

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Bibliographic Details
Main Authors: Xuying Wang, Rui Yang, Mengjie Huang
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Sensors
Subjects:
brain–computer interface
motor imagery
electroencephalography
transfer learning
common spatial pattern
Online Access:https://www.mdpi.com/1424-8220/22/6/2241

Internet

https://www.mdpi.com/1424-8220/22/6/2241

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