Search Results for author:
Found 4 papers, 0 papers with code
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.
Decoding of Intuitive Visual Motion Imagery Using Convolutional Neural Network under 3D-BCI Training Environment
As a result, the averaged classification performance of the proposed architecture for 4 classes from 16 channels was 67. 50 % across all subjects.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
