Exploring the Potential of Attention Mechanism-Based Deep Learning for Robust Subject-Independent Motor-Imagery Based BCIs

Exploring the Potential of Attention Mechanism-Based Deep Learning for Robust Subject-Independent Motor-Imagery Based BCIs

This study explores the use of attention mechanism-based deep learning models to construct subject-independent motor-imagery based brain-computer interfaces (MI-BCIs), which present unique and intricate challenges from a machine learning perspective. By comparing four attention mechanism-based model...

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Bibliographic Details
Main Authors: Aigerim Keutayeva, Berdakh Abibullaev
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Attention mechanism
brain-computer interface (BCI)
deep learning (DL)
vision transformers (VT)
motor imagery (MI)
EEG
Online Access:https://ieeexplore.ieee.org/document/10266354/

Internet

https://ieeexplore.ieee.org/document/10266354/

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