A study of motor imagery EEG classification based on feature fusion and attentional mechanisms

A study of motor imagery EEG classification based on feature fusion and attentional mechanisms

IntroductionMotor imagery EEG-based action recognition is an emerging field arising from the intersection of brain science and information science, which has promising applications in the fields of neurorehabilitation and human-computer collaboration. However, existing methods face challenges includ...

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Bibliographic Details
Main Authors: Tingting Zhu, Hailin Tang, Lei Jiang, Yijia Li, Shijun Li, Zhijian Wu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-07-01
Series:Frontiers in Human Neuroscience
Subjects:
brain-computer interface
motor imagery
EEG
attention mechanism
feature fusion
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2025.1611229/full
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