Single-Source and Multi-Source Cross-Subject Transfer Based on Domain Adaptation Algorithms for EEG Classification

Single-Source and Multi-Source Cross-Subject Transfer Based on Domain Adaptation Algorithms for EEG Classification

Transfer learning (TL) has been employed in electroencephalogram (EEG)-based brain–computer interfaces (BCIs) to enhance performance for cross-session and cross-subject EEG classification. However, domain shifts coupled with a low signal-to-noise ratio between EEG recordings have been demonstrated t...

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Bibliographic Details
Main Authors: Rito Clifford Maswanganyi, Chunling Tu, Pius Adewale Owolawi, Shengzhi Du
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Mathematics
Subjects:
brain–computer interface
BCI
electroencephalogram
EEG
domain adaptation
inter-subject variation
Online Access:https://www.mdpi.com/2227-7390/13/5/802
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