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Conference and Workshop Papers
- 2024
[c17]Dong-Kyun Han, Sung-Jin Kim, Heon-Gyu Kwak, Byoung-Hee Kwon, Byeong-Hoo Lee, Seong-Whan Lee:
EEG-Based Target Recognition for Multi-camera Surveillance Systems. BCI 2024: 1-5- [c16]Byoung-Hee Kwon, Dong-Kyun Han, Hyung-Ju Ahn:
Exploring the Feasibility of Event-Related Potentials in Visual Surveillance Applications. BCI 2024: 1-5 - [c15]Byeong-Hoo Lee, Byoung-Hee Kwon, Dong-Kyun Han:
Sample Dominance Aware Framework via Non-Parametric Estimation for Spontaneous Brain-Computer Interface. BCI 2024: 1-5 - 2023
- [c14]Jeong-Hyun Cho, Byoung-Hee Kwon, Byeong-Hoo Lee:
Decoding Multi-class Motor-related Intentions with User-optimized and Robust BCI System Based on Multimodal Dataset. BCI 2023: 1-5 - [c13]Byoung-Hee Kwon, Byeong-Hoo Lee, Jeong-Hyun Cho:
Channel Optimized Visual Imagery based Robotic Arm Control under the Online Environment. BCI 2023: 1-4 - [c12]Byeong-Hoo Lee, Jeong-Hyun Cho, Byoung-Hee Kwon:
Hybrid Paradigm-based Brain-Computer Interface for Robotic Arm Control. BCI 2023: 1-4 - [c11]Kang Yin, Byeong-Hoo Lee, Byoung-Hee Kwon, Jeong-Hyun Cho:
Target-centered Subject Transfer Framework for EEG Data Augmentation. BCI 2023: 1-4 - 2022
- [c10]Jeong-Hyun Cho, Byoung-Hee Kwon, Byeong-Hoo Lee, Seong-Whan Lee:
Decoding Continual Muscle Movements Related to Complex Hand Grasping from EEG Signals. BCI 2022: 1-5 - [c9]Byoung-Hee Kwon, Byeong-Hoo Lee, Jeong-Hyun Cho, Ji-Hoon Jeong:
Decoding Visual Imagery from EEG Signals using Visual Perception Guided Network Training Method. BCI 2022: 1-5 - [c8]Byeong-Hoo Lee, Jeong-Hyun Cho, Byoung-Hee Kwon:
A Factorization Approach for Motor Imagery Classification. BCI 2022: 1-5 - [c7]Byeong-Hoo Lee, Jeong-Hyun Cho, Byoung-Hee Kwon, Seong-Whan Lee:
Factorization Approach for Sparse Spatio-Temporal Brain-Computer Interface. ICPR 2022: 1090-1097 - 2021
- [c6]Sang-Joon Kim, Byoung-Hee Kwon, Ji-Hoon Jeong:
Intuitive Visual Imagery Decoding for Drone Swarm Formation Control from EEG Signals. BCI 2021: 1-6 - [c5]Byoung-Hee Kwon, Byeong-Hoo Lee, Ji-Hoon Jeong:
Motor Imagery Classification Emphasizing Corresponding Frequency Domain Method based on Deep Learning Framework. BCI 2021: 1-4 - [c4]Byeong-Hoo Lee, Byoung-Hee Kwon, Do-Yeun Lee, Ji-Hoon Jeong:
Speech Imagery Classification using Length-Wise Training based on Deep Learning. BCI 2021: 1-5 - 2020
- [c3]Byoung-Hee Kwon, Ji-Hoon Jeong, Dong-Joo Kim:
A Novel Framework for Visual Motion Imagery Classification Using 3D Virtual BCI Platform. BCI 2020: 1-5 - [c2]Byoung-Hee Kwon, Ji-Hoon Jeong, Jeong-Hyun Cho, Seong-Whan Lee:
Decoding of Intuitive Visual Motion Imagery Using Convolutional Neural Network under 3D-BCI Training Environment. SMC 2020: 2966-2971 - 2019
- [c1]Kyung-Hwan Shim, Ji-Hoon Jeong
, Byoung-Hee Kwon, Byeong-Hoo Lee, Seong-Whan Lee:
Assistive Robotic Arm Control based on Brain-Machine Interface with Vision Guidance using Convolution Neural Network. SMC 2019: 2785-2790
Informal and Other Publications
- 2023
- [i13]Byeong-Hoo Lee, Byoung-Hee Kwon, Seong-Whan Lee:
Sample Dominance Aware Framework via Non-Parametric Estimation for Spontaneous Brain-Computer Interface. CoRR abs/2311.07079 (2023) - 2022
- [i12]Byeong-Hoo Lee, Jeong-Hyun Cho, Byoung-Hee Kwon, Seong-Whan Lee:
Factorization Approach for Sparse Spatio-Temporal Brain-Computer Interface. CoRR abs/2206.08494 (2022) - [i11]Byoung-Hee Kwon, Byeong-Hoo Lee, Jeong-Hyun Cho:
Channel Optimized Visual Imagery based Robotic Arm Control under the Online Environment. CoRR abs/2211.13366 (2022) - [i10]Kang Yin, Byeong-Hoo Lee, Byoung-Hee Kwon, Jeong-Hyun Cho:
Target-centered Subject Transfer Framework for EEG Data Augmentation. CoRR abs/2212.00723 (2022) - [i9]Jeong-Hyun Cho, Byoung-Hee Kwon, Byeong-Hoo Lee:
Decoding Multi-class Motor-related Intentions with User-optimized and Robust BCI System Based on Multimodal Dataset. CoRR abs/2212.07083 (2022) - [i8]Byeong-Hoo Lee, Jeong-Hyun Cho, Byoung-Hee Kwon:
Hybrid Paradigm-based Brain-Computer Interface for Robotic Arm Control. CoRR abs/2212.08122 (2022) - 2021
- [i7]Byoung-Hee Kwon, Jeong-Hyun Cho, Byeong-Hoo Lee:
Decoding Visual Imagery from EEG Signals using Visual Perception Guided Network Training Method. CoRR abs/2112.06429 (2021) - [i6]Jeong-Hyun Cho, Byoung-Hee Kwon, Byeong-Hoo Lee, Seong-Whan Lee:
Decoding Continual Muscle Movements Related to Complex Hand Grasping from EEG Signals. CoRR abs/2112.07943 (2021) - [i5]Byeong-Hoo Lee, Jeong-Hyun Cho, Byoung-Hee Kwon:
A Factorization Approach for Motor Imagery Classification. CoRR abs/2112.08175 (2021) - 2020
- [i4]Byoung-Hee Kwon, Ji-Hoon Jeong, Dong-Joo Kim:
A Novel Framework for Visual Motion Imagery Classification Using 3D Virtual BCI Platform. CoRR abs/2002.01120 (2020) - [i3]Byoung-Hee Kwon, Ji-Hoon Jeong, Jeong-Hyun Cho, Seong-Whan Lee:
Decoding of Intuitive Visual Motion Imagery Using Convolutional Neural Network under 3D-BCI Training Environment. CoRR abs/2005.08879 (2020) - [i2]Byoung-Hee Kwon, Byeong-Hoo Lee, Ji-Hoon Jeong:
Motor Imagery Classification Emphasizing Corresponding Frequency Domain Method based on Deep Learning Framework. CoRR abs/2012.03617 (2020) - [i1]Byeong-Hoo Lee, Byoung-Hee Kwon, Do-Yeun Lee, Ji-Hoon Jeong:
Speech Imagery Classification using Length-Wise Training based on Deep Learning. CoRR abs/2012.03632 (2020)
Coauthor Index
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