Recognition of MI-EEG signals using extended-LSR-based inductive transfer learning

Recognition of MI-EEG signals using extended-LSR-based inductive transfer learning

IntroductionMotor imagery electroencephalographic (MI-EEG) signal recognition is used in various brain–computer interface (BCI) systems. In most existing BCI systems, this identification relies on classification algorithms. However, generally, a large amount of subject-specific labeled training data...

Full description

Saved in:
Bibliographic Details
Main Authors: Zhibin Jiang, Keli Hu, Jia Qu, Zekang Bian, Donghua Yu, Jie Zhou
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Neuroinformatics
Subjects:
motor imagery
EEG
brain-computer interface
LSR
inductive transfer learning
Online Access:https://www.frontiersin.org/articles/10.3389/fninf.2025.1559335/full
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items