A Lightweight Network with Domain Adaptation for Motor Imagery Recognition

A Lightweight Network with Domain Adaptation for Motor Imagery Recognition

Brain–computer interfaces (BCI) are an effective tool for recognizing motor imagery and have been widely applied in the motor control and assistive operation domains. However, traditional intention-recognition methods face several challenges, such as prolonged training times and limited cross-subjec...

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Bibliographic Details
Main Authors: Xinmin Ding, Zenghui Zhang, Kun Wang, Xiaolin Xiao, Minpeng Xu
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Entropy
Subjects:
BCI
motor imagery
transfer learning
convolutional neural network
Online Access:https://www.mdpi.com/1099-4300/27/1/14
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