Dae Hyeon Kim
Dae Hyeon Kim
B.E., Kwangwoon University (2016.03 ~ 2022.02)
Internship, Korea Institute of Science and Technology (KIST) (2020.12~2021.02)
M.S./Ph.D. Integrated Course, Kwangwoon University (2022.03 ~ )
Research Interests
Neural, Biomedical Engineering
Human-centered AI
Graph & Multimodal Learning
Journal Articles
D. H. Kim, J.-O. Park, D.-Y. Lee, and Y.-S. Choi, "Multiscale distribution entropy analysis of short epileptic EEG signals, " in Mathematical Biosciences and Engineering, vol. 21, no. 4, Apr. 2024. <Link>
Conferences
D. H. Kim, and Y.-S. Choi, "Semi-supervised EEG emotion recognition with Discriminative Graph Transformer Model", IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), Oct. 2023. <Link>
D. H. Kim, and Y.-S. Choi, "Semi-supervised Graph Convolution Neural Network based Emotion Recognition using Multimodal Biosignals," Summer Annual Conference of KIBME, Jun. 2023.
D.-H. Kim, and Y.-S. Choi, "EEG-based Emotion Recognition Using Spectral Graph Convolutional Neural Network based on Partial Directed Coherence", IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia). IEEE, Oct. 2022. <Link>
D.-H. Kim, and Y.-S. Choi, "Quantitative EEG based Emotion Recognition Using Graph Convolutional Neural Network," Summer Annual Conference of IEIE, Jul. 2022.
Patents
스펙트럼 그래프 컨볼루션 신경망을 이용한 정량화 뇌파 기반 감정 인식 방법
(Quantitative EEG-based Emotion Recognition Method using Spectral Graph Convolutional Neural Network )
최영석, 김대현, 출원번호: 10-2023-0138754, 출원일자: 2023.10.17