TriNet: A Hybrid Feature Integration Approach for Motor Imagery Classification in Brain-Computer Interface

Brain-computer interface (BCI) is inevitably a promising technology holding the potential to revolutionize the world with its wide range of applications. From healthcare to innovative computer gaming, integrating BCI for intelligent control has become an emergent scope. However, optimizing motor ima...

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Bibliographic Details
Main Authors: Hafza Faiza Abbasi, Muhammad Ahmed Abbasi, Shen Jianbo, Xiang Liping, Xiaojun Yu
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/11062813/
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