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Found 6 papers, 1 papers with code
Sample Dominance Aware Framework via Non-Parametric Estimation for Spontaneous Brain-Computer Interface
In this study, we introduce the concept of sample dominance as a measure of EEG signal inconsistency and propose a method to modulate its effect on network training.
Hybrid Paradigm-based Brain-Computer Interface for Robotic Arm Control
Brain-computer interface (BCI) uses brain signals to communicate with external devices without actual control.
Target-centered Subject Transfer Framework for EEG Data Augmentation
In this paper, we propose a target-centered subject transfer framework as a data augmentation approach.
Factorization Approach for Sparse Spatio-Temporal Brain-Computer Interface
From the results, we demonstrated that factorizing the EEG signal allows the model to extract rich and decisive features under sparse condition.
Motor Imagery Classification of Single-Arm Tasks Using Convolutional Neural Network based on Feature Refining
Brain-computer interface (BCI) decodes brain signals to understand user intention and status.
Classification of High-Dimensional Motor Imagery Tasks based on An End-to-end role assigned convolutional neural network
A brain-computer interface (BCI) provides a direct communication pathway between user and external devices.
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