A Domain Adaptation-Based Method for Classification of Motor Imagery EEG

A Domain Adaptation-Based Method for Classification of Motor Imagery EEG

Non-stationarity of EEG signals lead to high variability across sessions, which results in low classification accuracy. To reduce the inter-session variability, an unsupervised domain adaptation method is proposed. Arithmetic mean and covariance are exploited to represent the data distribution. Firs...

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Bibliographic Details
Main Authors: Changsheng Li, Minyou Chen, Li Zhang
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Mathematics
Subjects:
electroencephalogram
motor imagery
mean and covariance
domain adaptation
linear discriminant analysis
Online Access:https://www.mdpi.com/2227-7390/10/9/1588

Internet

https://www.mdpi.com/2227-7390/10/9/1588

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