Picture for Jeong-Hyun Cho

Jeong-Hyun Cho

Hybrid Paradigm-based Brain-Computer Interface for Robotic Arm Control

Add code
Dec 14, 2022
Figure 1 for Hybrid Paradigm-based Brain-Computer Interface for Robotic Arm Control
Figure 2 for Hybrid Paradigm-based Brain-Computer Interface for Robotic Arm Control
Figure 3 for Hybrid Paradigm-based Brain-Computer Interface for Robotic Arm Control
Figure 4 for Hybrid Paradigm-based Brain-Computer Interface for Robotic Arm Control
Viaarxiv icon

Target-centered Subject Transfer Framework for EEG Data Augmentation

Add code
Nov 24, 2022
Figure 1 for Target-centered Subject Transfer Framework for EEG Data Augmentation
Figure 2 for Target-centered Subject Transfer Framework for EEG Data Augmentation
Figure 3 for Target-centered Subject Transfer Framework for EEG Data Augmentation
Figure 4 for Target-centered Subject Transfer Framework for EEG Data Augmentation
Viaarxiv icon

Factorization Approach for Sparse Spatio-Temporal Brain-Computer Interface

Add code
Jun 17, 2022
Figure 1 for Factorization Approach for Sparse Spatio-Temporal Brain-Computer Interface
Figure 2 for Factorization Approach for Sparse Spatio-Temporal Brain-Computer Interface
Figure 3 for Factorization Approach for Sparse Spatio-Temporal Brain-Computer Interface
Figure 4 for Factorization Approach for Sparse Spatio-Temporal Brain-Computer Interface
Viaarxiv icon

Recognition of Tactile-related EEG Signals Generated by Self-touch

Add code
Dec 14, 2021
Figure 1 for Recognition of Tactile-related EEG Signals Generated by Self-touch
Figure 2 for Recognition of Tactile-related EEG Signals Generated by Self-touch
Figure 3 for Recognition of Tactile-related EEG Signals Generated by Self-touch
Viaarxiv icon

A Factorization Approach for Motor Imagery Classification

Add code
Dec 13, 2021
Figure 1 for A Factorization Approach for Motor Imagery Classification
Figure 2 for A Factorization Approach for Motor Imagery Classification
Figure 3 for A Factorization Approach for Motor Imagery Classification
Viaarxiv icon

Decoding of Intuitive Visual Motion Imagery Using Convolutional Neural Network under 3D-BCI Training Environment

Add code
May 15, 2020
Figure 1 for Decoding of Intuitive Visual Motion Imagery Using Convolutional Neural Network under 3D-BCI Training Environment
Figure 2 for Decoding of Intuitive Visual Motion Imagery Using Convolutional Neural Network under 3D-BCI Training Environment
Figure 3 for Decoding of Intuitive Visual Motion Imagery Using Convolutional Neural Network under 3D-BCI Training Environment
Figure 4 for Decoding of Intuitive Visual Motion Imagery Using Convolutional Neural Network under 3D-BCI Training Environment
Viaarxiv icon