International Conferences

2023

D. Park, Y.-G. Ju, and D.-O. Won, “Stable Character Recognition Strategy Using Ventilation Manipulation in ERP-Based Brain-Computer Interface,” Proc. 7th Asian Conference on Pattern Recognition, Kitakyushu, Japan, Nov. 5-8, 2023.
Y.-G. Ju, D. Park, and D.-O. Won, “Target Spectral Band Canonical Correlation Analysis Enhancing Target Frequency Feature Extraction in SSVEP-based BCI,” Proc. IEEE International Conference on Systems, Man, and Cybernetics, Hawaii, USA, Oct. 1-4, 2023.
D. Park, Y.-G. Ju, and D.-O. Won, “Stable Cognitive Attention through Ventilation Pattern Manipulationin ERP-Based Brain-Computer Interfaces,” Proc. IEEE International Conference on Systems, Man, and Cybernetics, Hawaii, USA, Oct. 1-4, 2023.
T.-E. Kam et al., “SAT-Net: SincNet-based Attentive Temporal Convolutional Network for Motor Imagery Classification,” Proc. IEEE International Conference on Systems, Man, and Cybernetics, Hawaii, USA, Oct. 1-4, 2023.
S. C. Jun et al., “Achieving Effective Artifact Subspace Reconstruction in EEG using Real-time Video-based Artifact Identification,” Proc. IEEE International Conference on Systems, Man, and Cybernetics, Hawaii, USA, Oct. 1-4, 2023.
S. Kim, Y.-E. Lee, S.-H. Lee, and S.-W. Lee, “Diff-E: Diffusion-based Learning for Decoding Imagined Speech EEG,” Proc. 24th Interspeech, Dublin, Ireland, Aug. 20-24, 2023.
S. C. Jun et al., “Feasibility Study for Pain Classification using EEG induced by Thermal Grill Illusion,” Proc. 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Sydney, Australia, Jul. 24-27, 2023.
J.-S. Lee and H.-J, Hwang, “Development of an Algorithm to Detect Wakefulness During Sleep Using Accelerometer Data,” Proc. 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Sydney, Australia, Jul. 24-27, 2023.
H.-N. Jo, Y.-S. Kweon, G.-H. Shin, H.-G. Kwak, and S.-W. Lee, “Neurophysiological Response Based on Auditory Sense for Brain Modulation Using Monaural Beat,” Proc. 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Sydney, Australia, Jul. 24-27, 2023.
C. Lee and J. An, “Deep BCI of Pain Decoding form fNIRS,” Proc. The second International Conference on Hybrid Human-Artificial Intelligence, Munich, Germany, Jun. 26-30, 2023.
G. Y. Park, S. Lee, S. W. Lee, and J. C. Ye, “Training Debiased Subnetworks With Contrastive Weight Pruning,” Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition, Vancouver, Canada, Jun. 18-22, 2023.
Y. Sung and S. W. Lee, “Uncertainty-robust Goal Embedding in the Prefrontal Cortex for Flexibly Stable Learning,” Proc. Computational and Systems Neuroscience, Denvour, USA, Mar. 9-14, 2023.
J. Shin, J. H. Lee, and S. W. Lee, “Controlling Human Cortical and Striatal Reinforcement Learning with Meta Prediction Error,” Proc. Computational and Systems Neuroscience, Denvour, USA, Mar. 9-14, 2023.
D.-K. Han, G.-D. Jang, and D.-Y. Kim, “Subject-independent Brain-computer Interfaces with Open-set Subject Recognition”, Proc. 11th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 20-22, 2023.
J.-H. Cho, B.-H. Kwon, and B.-H. Lee, “Decoding Multi-class Motor-related Intentions with User-optimized and Robust BCI System Based on Multimodal Dataset,” Proc. 11th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 20-22, 2023.
B.-H. Lee, J.-H. Cho, and B.-H. Kwon, “Hybrid Paradigm-based Brain-computer Interface for Robotic Arm Control,” Proc. 11th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 20-22, 2023.
B.-H. Kwon, B.-H. Lee, and J.-H. Cho, “Channel Optimized Visual Imagery based Robotic Arm Control under the Online Environment,” Proc. 11th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 20-22, 2023.
K. Yin, B.-H. Lee, B.-H. Kwon, and J.-H. Cho, “Target-centered Subject Transfer Framework for EEG Data Augmentation,” Proc. 11th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 20-22, 2023.
Y.-S. Kweon, G.-H. Shin, and H.-G. Kwak, “Development of Personalized Sleep Induction System based on Mental States,” Proc. 11th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 20-22, 2023.
G.-H. Shin, Y.-S. Kweon, and H.-G. Kwak, “Changes in Power and Information Flow in Resting-state EEG by Working Memory Process,” Proc. 11th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 20-22, 2023.
H.-G. Kwak, Y.-S. Kweon, and G.-H. Shin, “Siamese Sleep Transformer for Robust Sleep Stage Scoring with Self-knowledge Distillation and Selective Batch Sampling,” Proc. 11th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 20-22, 2023.
D.-Y. Kim, D.-K. Han, and H.-B. Shin, “Calibration-free Driver Drowsiness Classification based on Manifold-level Augmentation,” Proc. 11th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 20-22, 2023.
H. Kim, M, Kim, and W. Chung, “Sleep-CMKD: Self-attention CNN/Transformer Cross-model Knowledge Distillation for Automatic Sleep Staging,” Proc. 11th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 20-22, 2023.
S. Jeong, E. Jeon, S. Noh, J. Lee, H. Kim, and H.-I. Suk, “Learning-based Sleep Quality Evaluation,” Proc. 11th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 20-22, 2023.
S. Jo, J. Jeon, S. Jeong, and H.-I. Suk, “Channel-aware Self-supervised Learning for EEG-based BCI,” Proc. 11th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 20-22, 2023.
P. Lee, S. Jeon, S. Hwang, M. Shin, and H. Byun, “Source-free Subject Adaptation for EEG-based Visual Recognition,” Proc. 11th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 20-22, 2023.
H. Kim, K. Won, M. Ahn, and S. C. Jun, “Cognitive-switch Detection for Un-cued SSVEP BCI Speller,” Proc. 11th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 20-22, 2023.
M. Kim, K. Jung, and W. Chung, “Automatic Sleep Stage Classification Method based on Transformer-in-transformer,” Proc. 11th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 20-22, 2023.
H. Nam, J.-M. Kim, and T.-E. Kam, “Feature Selection Based on Layer-wise Relevance Propagation for EEG-based MI Classification,” Proc. 11th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 20-22, 2023.
S. Bak, J. Park, and J. Jeong, “Investigation of Stealing Passwords Stored in Human Brain Using Hemodynamic Responses Measured by fNIRS,” Proc. 11th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 20-22, 2023.
J. Shin and W. Chung, “Multi-class Motor Imagery Classification using Multi-class SVM with Multi-band Riemannian Tangent Space Mapping,” Proc. 11th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 20-22, 2023.
Y.-E. Lee, S.-H. Kim, S.-H. Lee, J.-S. Lee, S. Kim, and S.-W. Lee, “Speech Synthesis from Brain Signals Based on Generative Model,” Proc. 11th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 20-22, 2023.
S.-H. Lee, Y.-E. Lee, S. Kim, B.-K. Go and S.-W. Lee, “Towards Neural Decoding of Imagined Speech based on Spoken Speech,” Proc. 11th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 20-22, 2023.
K. Jung, M. Kim, and W. Chung, “Epoch-level and Sequence-level Multi-Head Self-Attention-based Sleep Stage Classification,” Proc. 11th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 20-22, 2023.
S. Kim, J.-W. Lee, Y.-E. Lee, and S.-H. Lee, “Subject-Independent Classification of Brain Signals using Skip Connections,” Proc. 11th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 20-22, 2023.
Y.-E. Lee, S.-H. Lee, S.-H. Kim, and S.-W. Lee, “Towards Voice Reconstruction from EEG during Imagined Speech,” Proc. 37th AAAI Conference on Artificial Intelligence, Washington, USA, Feb. 7-14, 2023.

2022

H. Kim, M. Ahn, S.-C. Jun, and K. Won, “Un-cued SSVEP BCI Speller using Detection Method of User Cognition,” Proc. Society for Neuroscience, San Diego, California, Nov. 12-16, 2022.
W. Ko and H.-I. Suk, “EEG-oriented Self-supervised Learning and Cluster-aware Adaptation,” Proc. The 31st ACM International Conference on Information and Knowledge Management, Atlanta, USA, Oct. 17-21, 2022.
D.-Y. Kim, D.-K. Han, J.-H. Jeong, and S.-W. Lee, “EEG-based Driver Drowsiness Classification via Calibration-free Framework with Domain Generalization,” Proc. IEEE International Conference on Systems, Man, and Cybernetics, Prague, Czech Republic, Oct. 9-12, 2022.
S.-H. Han, D.-K. Han, and S.-W. Lee, “Ordinal Distance-based Domain Adaptation Framework for Motion Sickness Classification,” Proc. IEEE International Conference on Systems, Man, and Cybernetics, Prague, Czech Republic, Oct. 9-12, 2022.
J.-U. Hwang, J.-S. Bang, and S.-W. Lee, “Classification of Motion Sickness Levels using Multimodal Biosignals in Real Driving Conditions,” Proc. IEEE International Conference on Systems, Man, and Cybernetics, Prague, Czech Republic, Oct. 9-12, 2022.
M. Song, D. Gwon, K. Won, S.-C. Jun, and M. Ahn, “Signal Alignment for Cross-dataset Transfer Learning in P300 Brain-computer Interfaces,” Proc. The 3rd Neuroadaptive Technology Conference, Lbbenau, Germany, Oct. 9-12, 2022.
B.-H. Lee, J.-H. Cho, B.-H. Kown, and S.-W. Lee, “A Factorization Approach for Sparse Spatio-temporal Brain-computer Interface,” Proc. 26th International Conference on Pattern Recognition, Montral, Canada, Aug. 21-25, 2022.
K. Won, H. Kim, D. Gwon, M. Ahn, C. S. Nam, and S.-C. Jun, “May Tactile Stimulation and Electrical Brain Stimulation be Helpful to the BCI-unable,” Proc. Neuroergonomics and NYC Neuromodulation Conference, New York, USA, July. 28-Aug. 1, 2022.
S. Musellim, D.-K. Han, J.-H. Jeong, and S.-W. Lee, “Prototype-based Domain Generalization Framework for Subject-independent Brain-computer Interfaces,” Proc. 44th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Glasgow, Scotland, Jul. 11-15, 2022.
J. Phyo, W. Ko, E. Jeon, and H.-I. Suk, “Enhancing Contextual Encoding With Stage-confusion and Stage-transition Estimation for EEG-based Sleep Staging,” Proc. 47th IEEE International Conference on Acoustics, Speech, and Signal Processing, Singapore, May 7-13, 2022.
S. Joo and S. W. Lee, “Learning Robust Task Context with Hypothetical Analogy-making,” Proc. ICLR 2022 Workshop on Generalizable Policy Learning in Physical World, Virtual, Apr. 29, 2022.
J. Shin and W. Chung, “Motor Imagery Classification based on Multi-kernel CNN with the amalgamated Cross Entropy Loss,” Proc. 10th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 21-23, 2022.
Y. Pyo, S. Nahm, and J. Jeong, “Classification Performances due to Asymmetric Nonlinear Weight Updates in Analog Artificial Synapse-based Hardware Neural Networks,” Proc. 10th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 21-23, 2022.
M. Mametkulov, A. Artybayev, D. Koishigarina, A. Kenessova, K. Razikhova, T. Kang, C. Wallraven, and S. Fazli, “Explainable Machine Learning for Memory-related Decoding via TabNet and Non-linear Features,” Proc. 10th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 21-23, 2022.
D.-H. Shin, D.-H. Ko, J.-W. Han, and T.-E. Kam, “Evolutionary Reinforcement Learning for Automated Hyperparameter Optimization in EEG Classification,” Proc. 10th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 21-23, 2022.
Y. H. Kang, D. Kim, and S. W. Lee, “Meta-BCI: Perspectives on a Role of Self-supervised Learning in Meta Brain Computer Interface,” Proc. 10th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 21-23, 2022.
M. H. Kim, D. Kim, E, Jo, and S. W. Lee, “Goal-driven Atari Environment,” Proc. 10th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 21-23, 2022.
P. Lee, S. Hwang, J. Lee, M. Shin, S. Jeon, and H. Byun, “Inter-subject Contrastive Learning for Subject Adaptive EEG-based Visual Recognition,”Proc. 10th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 21-23, 2022.
S. Jeong, W. Ko, A. W. Mulyadi, and H.-I. Suk, “Continuous Riemannian Geometric Learning for Sleep Staging Classification,” Proc. 10th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 21-23, 2022.
J.-S. Bang and S.-W. Lee, “Interpretable Convolutional Neural Networks for Subject-independent Motor Imagery Classification,” Proc. 10th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 21-23, 2022.
B.-H. Kwon, B.-H. Lee, J.-H. Cho and J.-H. Jeong, “Decoding Visual Imagery from EEG Signals using Visual Perception Guided Network Training Method,” Proc. 10th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 21-23, 2022.
D.-K. Han, S. Musellim, and D.-Y. Kim “Confidence-aware Subject-to-subject Transfer Learning for Brain-computer Interface,” Proc. 10th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 21-23, 2022.
J.-H. Cho, B.-H. Kwon, B.-H. Lee, and S.-W. Lee, “Decoding Continual Muscle Movements Related to Complex Hand Grasping from EEG Signals,” Proc. 10th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 21-23, 2022.
B.-H. Lee, J.-H. Cho, and B.-H. Kwon, “A Factorization Approach for Motor Imagery Classification,” Proc. 10th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 21-23, 2022.
Y.-E. Lee and S.-H. Lee, “EEG-transformer: Self-attention from Transformer Architecture for Decoding EEG of Imagined Speech,” Proc. 10th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 21-23, 2022.
S.-H. Lee, Y.-E. Lee and S.-W. Lee, “Toward Imagined Speech based Smart Communication System: Potential Applications on Metaverse Conditions,” Proc. 10th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 21-23, 2022.
M.-K. Kim, J.-H. Cho and H.-B. Shin, “Recognition of Tactile-related EEG Signals Generated by Self-touch,” Proc. 10th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 21-23, 2022.
Y.-S. Kweon and G.-H. Shin, “Possibility of Sleep Induction using Auditory Stimulation based on Mental States,” Proc. 10th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 21-23, 2022.
G.-H. Shin and Y.-S. Kweon, “Differential EEG Characteristics during Working Memory Encoding and Re-encoding,” Proc. 10th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 21-23, 2022.
M.-S. Shim, S.-H. Lee, H.-J. Hwang, “A Novel Neurophysiological Feature Based on Quantifying EEG Data for Separating of Patients in Psychiatric Disorders with Comorbidities,” Proc. 10th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 21-23, 2022.
H.-T. Lee, S.-Y. Jun, J.-S. Kim, C.-K. Chung, H.-J. Hwang, “Decoding the Performance of a Memory Task Using Single-trial Intracranial EEG,” Proc. 10th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 21-23, 2022.

2021

J. H. Shin, S. W. Lee, and J. H. Lee, “In Silico Manipulation of Human Cortical Computation Underlying Goal-directed Learning,” Proc. Conference on Neural Information Processing Systems Workshop on Human and Machine Decisions, Virtual, Dec. 14, 2021.
H.-R. Cheon, G. Kwon, and H.-J. Hwang, “Different Cosmetic Formulations Can Induce Distinct Neural Substrates,” Proc. International Biomedical Engineering Conference, Virtual, Nov. 10-12, 2021.
S.H. Kang, J. Chio, and S.-C. Jun, “Effects of PPC tDCS on Vigilance Task and Alpha Power Tendency”, Proc. International Biomedical Engineering Conference, Virtual, Nov. 10-12, 2021.
C. Cheong. C. Im, and S.-C. Jun, “Realistic Modeling of Current Steering during Orientation Selective Deep Brain Stimulation of the Subthalamic Nucleus ? The Influence of Anisotropic Conductivity”, Proc. International Biomedical Engineering Conference, Virtual, Nov. 10-12, 2021.
K. Park, H. Chung, C. Im, and S.-C. Jun, “Investigation of Electric Field Direction Sensitivity on Cortical Neuron Activation”, Proc. International Biomedical Engineering Conference, Virtual, Nov. 10-12, 2021.
M. Shim, S.-W. Lee, and H.-J. Hwang, “Resting-state Electroencephalography (EEG)-based Diagnosis System for Drug-naive Female Major Depressive Disorder Patients,” Proc. 6th Asian Conference on Pattern Recognition, Jeju, Korea, Nov. 9-12, 2021.
H. Joo, I. Jeong, and S. Lee, “Estimating the Level of Inference using an Order-mimic Agent,” Proc. 6th Asian Conference on Pattern Recognition, Jeju, Korea, Nov. 9-12, 2021.
J. Choi, S. Jang, and S.-C. Jun, “Is Notable EEG Feature Extracted over Time-dependent Cognitive Load Variation during Intelligence Tests”, Proc. 6th Asian Conference on Pattern Recognition, Jeju, Korea, Nov. 9-12, 2021.
H. S. Ryu, U. Ju, and C. Wallraven, “Predicting Decision-making in the Future: Human Versus Machine,” Proc. 6th Asian Conference on Pattern Recognition, Jeju, Korea, Nov. 9-12, 2021.
W. Ko, E. Jeon, and H.-I. Suk, “Spectro-spatio-temporal EEG Representation Learning for Imagined Speech Recognition,” Proc. 6th Asian Conference on Pattern Recognition, Jeju, Korea, Nov. 9-12, 2021.
J.-H. Shin and W.-Z. Chung, “Motor Imagery Classification based on Local Log Riemannian Distance Matrices Selected by Confusion Area Score,” Proc. 6th Asian Conference on Pattern Recognition, Jeju, Korea, Nov. 9-12, 2021.
P. Lee, S. Hwang, S. Jeon, and H. Byun, “Subject Adaptive EEG-based Visual Recognition,” Proc. 6th Asian Conference on Pattern Recognition, Jeju, Korea, Nov. 9-12, 2021.
J.-S. Bang and S.-W. Lee, “Motor Imagery Classification based on CNN-GRU Network with Spatio-temporal Feature Representation,” Proc. 6th Asian Conference on Pattern Recognition, Jeju, Korea, Nov. 9-12, 2021.
H. Chung, C. Im, H. Seo, S. C. Jun, “Which is a More Deterministic Factor for Cortical Activation Induced by Transcranial Electrical Stimulation, Electric Field or Radial Field”, Proc. 4th International Brain Stimulation Conference, South Carolina, USA, Dec. 6-9, 2021.
H. Chung, H. Seo, and S.C. Jun, “Effects of Electric Field on Neuromodulation in Transcranial Direct Current Stimulation”, Proc. Society for Neuroscience, Virtual, Nov 3-7, 2021.
S. Lee, S. Jang, and S.C. Jun, “Towards Intuitive BCI-feasibility Study of Decoding Visual Imagery EEG using Deep Learning”, Proc. Society for Neuroscience, Virtual, Nov 3-7, 2021.
H. Kim, K. Won, and S.C. Jun, “EEG Channel Selection for SSVEP BCI Speller”, Proc. Society for Neuroscience, Virtual, Nov 3-7, 2021.
H. Chung, C. Im, H. Seo, and S. C. Jun, “Is Electric Field Strength Deterministic in Cortical Neurons’ Response to Transcranial Electrical Stimulation,” Proc. 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Virtual, Oct. 31-Nov. 4, 2021.
G. Park and S. Lee, “Reliability Fast Adversarial Training via Latent Adversarial Perturbation,” Proc. IEEE International Conference on Computer Vision, Virtual, Oct. 11-17, 2021.
G. Park and S. Lee, “Information-theoretic regularization for Multi-source Domain Adaptation,” Proc. IEEE International Conference on Computer Vision, Virtual, Oct. 11-17, 2021.
W. Ko, E. Jeon, and H.-I. Suk, “Learning Informative Representation for EEG-based BCI,” Proc. 9th International BCI Meeting, Brussels, Belgium, Jun. 7-9, 2021.
E. Jeon, W. Ko, and H.-I. Suk, “Task-relevant Deep Representation Learning via Mutual Information Maximization for BCI,” Proc. 9th International BCI Meeting, Brussels, Belgium, Jun. 7-9, 2021.
M. Kwon, H. Cho, K. Won, M. Ahn, and S. C. Jun, “Motor Imagery BCI Performance Prediction using Eyes-open and Eyes-closed Resting States,” Proc. 9th International BCI Meeting, Brussels, Belgium, Jun. 7-9, 2021.
D. Gwon, J. Lee, H. Kim, and M. Ahn, “Phase Amplitude Coupling in motor imagery Brain-computer Interface,” Proc. 9th International BCI Meeting, Brussels, Belgium, Jun. 7-9, 2021.
J. Lee, M. Kwon, K. Won, S. C. Jun, and M. Ahn, “Transfer Learning in Motor Imagery with Large Data,” Proc. 9th International BCI Meeting, Brussels, Belgium, Jun. 7-9, 2021.
S. Hwang, S. Park, D. Kim, J. Lee, and H. Byun, “Mitigating Inter-subject Brain Signal Variability for EEG-based Driver Fatigue State Classification,” Proc. 46th IEEE International Conference on Acoustics, Speech, and Signal Processing, Toronto, Canada, Jun. 6-11, 2021.
P. Liznerski, L. Ruff, R. A. Vandermeulen, B. J. Franks, M. Kloft, and K.-R. Muller, “Explainable Deep One-class Classification,” Proc. 9th International Conference on Learning Representations, Vienna, Australia, May 4-8, 2021.
Y.-E. Lee and S.-W. Lee, “Decoding Event-related Potential from Ear-EEG Signals based on Ensemble Convolutional Neural Networks in Ambulatory Environment,” Proc. 9th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 22-24, 2021.
S.-H. Lee, M. Lee, and S.-W. Lee, “Functional Connectivity of Imagined Speech and Visual Imagery based on Spectral Dynamics,” Proc. 9th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 22-24, 2021.
D.-K. Han and J.-H. Jeong, “Domain Generalization for Session-independent Brain-computer Interface,” Proc. 9th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 22-24, 2021.
B.-H. Lee, B.-H. Kwon, D.-Y. Lee, and J.-H. Jeong, “Speech Imagery Classification using Length-wise Training based on Deep Learning,” Proc. 9th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 22-24, 2021.
B.-H. Kwon, B.-H. Lee, and J.-H. Jeong, “Motor Imagery Classification Emphasizing Corresponding Frequency Domain Method based on Deep Learning Framework,” Proc. 9th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 22-24, 2021.
Y.-S. Kweon, G.-H. Shin, H.-G. Kwak, and M. Lee, “Automatic Micro-sleep Detection under Car-driving Simulation Environment using Night-sleep EEG,” Proc. 9th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 22-24, 2021.
G.-H. Shin, Y.-S. Kweon, and M. Lee, “Predicting the Transition from Short-term to Long-term Memory based on Deep Neural Network,” Proc. 9th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 22-24, 2021.
D.-H. Lee, H.-J. Ahn, J.-H. Jeong, and S.-W. Lee, “Design of an EEG-based Drone Swarm Control System using Endogenous BCI Paradigms,” Proc. 9th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 22-24, 2021.
J.-H. Cho, J.-H. Jeong, M.-K. Kim, and S.-W. Lee, “Towards Neurohaptics: Brain-computer Interfaces for Decoding Intuitive Sense of Touch,” Proc. 9th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 22-24, 2021.
M.-K. Kim, J.-H. Cho, and J.-H. Jeong, “Classification of Tactile Perception and Attention on Natural Textures from EEG Signals,” Proc. 9th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 22-24, 2021.
J.-S. Bang, J.-H. Jeong, and D.-O. Won, “Classification of Visual Perception and Imagery based EEG Signals Using Convolutional Neural Networks,” Proc. 9th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 22-24, 2021.
J. Kalafatovich and M. Lee, “Subject-independent Object Classification Based on Convolutional Neural Network from EEG Signals,” Proc. 9th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 22-24, 2021.
J-W. Lee and W.-Z. Chung, “Motor Imagery Classification Using Local Region CSP Features with High-gamma Band,” Proc. 9th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 22-24, 2021.
G.-Y. Choi, W.-S. Kim, and H.-J. Hwang, “Electroencephalography-based a Motor Hotspot Identification Approach Using Deep-learning,” Proc. 9th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 22-24, 2021.
M.-S. Shim, S.-H. Lee, and H.-J. Hwang, “Functional Connectivity-based EEG Features to Assist The Diagnosis of Post-traumatic Stress Disorder Patients,” Proc. 9th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 22-24, 2021.
H.-J. Hwang, “Brain-computer Interface Based on Ear-EEG,” Proc. 9th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 22-24, 2021.
S. Hwang, P. Lee, S Park, and H. Byun, “Learning Subject independent Representation for EEG based Drowsy Driving Detection,” Proc. 9th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 22-24, 2021.
K.-H. Won, M.-Y. Kwon, M.-K. Ahn, and S.-C. Jun, “Selective Subject Pooling Strategy to Achieve Subject-independent Motor Imagery BCI,” Proc. 9th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 22-24, 2021.
D. Kim, M. H. Kim, and S. W. Lee, “Decoding Learning Strategies from EEG Signals Provides Generalizable Features for Decoding Decision”, Proc. 9th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 22-24, 2021.
S. Bak, J. Jeong, and J. Shin, “Mutual Interaction between Genders with Stress or Non-stress by Positive Stimulus Characteristics Using fNIRS,” Proc. 9th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 22-24, 2021.
J. Yang, S. Cha, D. Yun, and J. An, “Effects of tDCS on Cortical Motor Facilitation in Performing Motor Execution,” Proc. 9th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 22-24, 2021.
S. Cha, Y. Yang, and J. An, “Does FES Contribute to Cognitive Motor Task Discrimination?: An fNIRS Study,” Proc. 9th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 22-24, 2021.
J.-M. Yang, S.-H. Cha, D.-W. Yun, and J. An, “Effects of Transcranial Direct Current Stimulation on Motor Cortex with Task: an fNIRS Study”, Proc. 9th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 22-24, 2021.
S. Jeong, E. Jeon, W. Ko, and H.-I. Suk, “Fine-grained Temporal Attention Network for EEG-based Seizure Detection,” Proc. 9th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 22-24, 2021.
C. Lee, R.-H. Choi, and J. An, “Deep Neural Network for Drowsiness Detection from EEG,” Proc. 9th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 22-24, 2021.

2020

B.-H. Kwon, J.-H. Jeong, J.-H Choi, and S.-W. Lee, “Decoding of Intuitive Visual Motion Imagery Using Convolutional Neural Network under 3D-BCI Training Environment,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020), Toronto, Canada, Oct. 11-14, 2020.
G.-H. Shin, M. Lee, and S.-W. Lee, “Assessment of Unconsciousness for Memory Consolidation Using EEG Signals,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020), Toronto, Canada, Oct. 11-14, 2020.
J. Kalafatovich, M. Lee, and S.-W. Lee, “Decoding Visual Recognition of Objects from EEG Signals based on Attention-Driven Convolutional Neural Network,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020), Toronto, Canada, Oct. 11-14, 2020.
D.-Y. Lee, M. Lee, and S.-W. Lee, “Classification of Imagined Speech Using Siamese Neural Network,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020), Toronto, Canada, Oct. 11-14, 2020.
H. Chung, C. Im, H. Seo, and S.-C. Jun, “Morphological Influence and Electric Field Direction’s Influence on Activation of Cortical Neurons in Electrical Brain Stimulation: a Computational Study,” Proc. 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2020), Montreal, Canada, July 20-24, 2020.
R. Mane, N. Robinson, A. P. Vinod, S.-W. Lee, and C. Guan, “FBCNet: a Multi-view CNN with Novel Variance Layer for Motor Imagery Brain Computer Interface,” Proc. 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2020), Montreal, Canada, July 20-24, 2020.
H.-J. Kim, M. Lee, and S.-W. Lee, “End-to-End Automatic Sleep Stage Classification Using Spectral-Temporal Sleep Features,” Proc. 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2020), Montreal, Canada, July 20-24, 2020.
G.-H. Shin, M. Lee, H.-J. Kim, and S.-W. Lee, “Prediction of Event Related Potential Speller Performance Using Resting-State EEG,” Proc. 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2020), Montreal, Canada, July 20-24, 2020.
K. Jenifer, M. Lee, and S.-W. Lee, “Prediction of Memory Retrieval Performance Using Ear-EEG Signals,” Proc. 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2020), Montreal, Canada, July 20-24, 2020.
J-.H. Cho, J.-H. Jeong, D.J. Kim, and S.-W. Lee, “Decoding Five Grasp Motions from EEG Signals Based on a Novel Data Augmentation Strategy,” Proc. 42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2020), Montreal, Canada, July 20-24, 2020.
F. Sattler, K.-R. Mller, T. Wiegand, W. Samek, “On the Byzantine Robustness of Clustered Federated Learning,” Proc. 45th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), Barcelona, Spain, May 4-8, 2020.
D.-Y. Lee, J.-H. Jeong, K.-H. Shim, and S.-W. Lee, “Decoding Movement Imagination and Execution from EEG Signals Using BCI-Transfer Learning Method Based on Relation Network,” Proc. 45th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), Barcelona, Spain, May 4-8, 2020.
B.-H. Lee, J.-H. Jeong, K.-H. Shim, and S.-W. Lee, “Classification of High-Dimensional Motor Imagery Tasks based on An End-to-end Role Assigned Convolutional Neural Network,” Proc. 45th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), Barcelona, Spain, May 4-8, 2020.
G. Montavon, J. Kauffmann, W. Samek, and K.-R. Mller, “Explaining the Predictions of Unsupervised Learning Models,” Proc. International Workshop on Extending Explainable AI Beyond Deep Models and Classifiers, Vienna, Austria, July 18, 2020.
J. Kalafatovich, M. Lee, and S.-W. Lee, “Prediction of Subsequent Memory Effects Using Convolutional Neural Network,” Proc. International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI 2020), Zhongshan City, China, May 12-15, 2020.
M. Song and S. W. Lee, “Dynamic resource allocation during reinforcement learning accounts for ramping and phasic dopamine,” Proc. Computational and Systems Neuroscience (COSYNE), Denver, U.S., Feb. 27-Mar. 1, 2020.
M. Shim, S.-H. Lee, and H.-J. Hwang, “Altered cortical activation and functional network in post-traumatic stress disorder (PTSD) during an auditory cognitive processing,” Proc. 8th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 26-28, 2020.
J.-H. Jeong, D.-H. Lee, H.-J. Ahn, and S.-W. Lee, “Towards Brain-Computer Interfaces for Drone Swarm Control,” Proc. 8th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 26-28, 2020.
J. Yang, S. Cha, D. Yun, and J. An, “Probe Configuration Design for Closed-loop Multi-Channel fNIRS-tDCS BCI,” Proc. 8th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 26-28, 2020.
Y.-K. Park and W.-Z. Chung, “Filter-bank Local Region Complex-valued Common Spatial Pattern for Motor Imagery Classification,” Proc. 8th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 26-28, 2020.
J.-H. Kim, Y.-K. Park, and W.-Z. Chung, “Transform Based Feature Construction Utilizing Magnitude and Phase for Convolutional Neural Network in EEG Signal Classification,” Proc. 8th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 26-28, 2020.
Y. Kwak, W.-J. Song, B.-K. Min, and S.-E. Kim, “3D CNN based Multilevel Feature Fusion for Workload Estimation,” Proc. 8th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 26-28, 2020.
D. Kim, J. Park, J. Hwang, W. H. Cho, and S. W. Lee, “Decoding Prefrontal Cognitive States from Electroencephalography in Virtual-reality Environment,” Proc. 8th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 26-28, 2020.
W. Ko, K. Oh, E. Jeon, and H.-I. Suk, “VIGNet: A Deep Convolutional Neural Network for EEG-based Driver Vigilance Estimation,” Proc. 8th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 26-28, 2020.
S. Hwang, M. Ki, K. Hong, and H. Byun, “Subject-Independent EEG-based Emotion Recognition using Adversarial Learning,” Proc. 8th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 26-28, 2020.
Y. Pyo, S. Nahm, J.-W. Shin, and J.-C. Jeong, “Implementation of Hardware-based Neural Network using Memristors with Abrupt SET and Gradual RESET Characteristics,” Proc. 8th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 26-28, 2020.
J.-W. Park, J.-W. Shin, and J.-C. Jeong, “Implementation of Multi-connected Single-channel Functional Near-infrared Spectroscopy System for Hyperscanning Study,” Proc. 8th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 26-28, 2020.
B.-H. Kwon, J.-H. Jeong, and D.-J. Kim, “A Novel Framework for Visual Motion Imagery Classification Using 3D Virtual BCI Platform,” Proc. 8th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 26-28, 2020.
B.-H. Lee, J.-H. Jeong, K.-H. Shim, and D.-J. Kim, “Motor Imagery Classification of Single-Arm Tasks Using Convolutional Neural Network based on Feature Refining,” Proc. 8th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 26-28, 2020.
D.-Y. Lee, J.-H. Jeong, K.-H. Shim, and D.-J. Kim, “Classification of Upper Limb Movements Using Convolutional Neural Network with 3D Inception Block,” Proc. 8th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 26-28, 2020.
J.-H. Cho, J.-H. Jeong, D.-J. Kim, and S.-W. Lee, “A Novel Approach to Classify Natural Grasp Actions by Estimating Muscle Activity Patterns from EEG Signals,” Proc. 8th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 26-28, 2020.
H.-J. Kim, M.-H. Lee, and M. Lee, “A BCI based Smart Home System Combined with Event-related Potentials and Speech Imagery Task,” Proc. 8th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 26-28, 2020.
J.-G. Yoon and M. Lee, “Effective Correlates of Motor Imagery Performance based on Default Mode Network in Resting-State,” Proc. 8th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 26-28, 2020.
J. Kalafatovich and M. Lee, “Neural Oscillations for Encoding and Decoding Declarative Memory using EEG Signals,” Proc. 8th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 26-28, 2020.
S.-H. Lee, M. Lee, and S.-W. Lee, “Spatio-Temporal Dynamics of Visual Imagery for Intuitive Brain-Computer Interface,” Proc. 8th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 26-28, 2020.
Y.-E. Lee and M. Lee, “Decoding Visual Responses based on Deep Neural Networks with Ear-EEG Signals,” Proc. 8th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 26-28, 2020.
Y.-S. Kweon, M. Lee, D.-O. Won, and K.-S. Seo, “Prediction of Individual Propofol Requirements based on Preoperative EEG signals,” Proc. 8th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 26-28, 2020.
S. K. Prabhakar, H. Rajaguru, and S.-W. Lee, “Eigen Vector Method with Swarm and Non Swarm Intelligence Techniques for Epileptic Seizure Classification,” Proc. 8th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 26-28, 2020.

2019

S.-H. Lee, M. Lee, and S.-W. Lee, “EEG Representations of Spatial and Temporal Features in Imagined Speech and Over Speech,” Proc. The 5th Asian Conference on Pattern Recognition, Auckland, New Zealand, Nov. 26-29, 2019.
B.-K. Min, K. M. Choi, H.-S. Kim, and M.-H. Ahn, “Enhanced Working-memory Performance by Cross-frequency Coupled Transcranial Alternative Current Stimulation,” Proc. The 26th Annual Meeting Cognitive Neuroscience Society (CNS 2019), San Francisco, USA, Oct. 19-23, 2019.
B.-K. Min, J.-W Kim, D. Pantazis, and H.-S. Kim, “Decoding Prestimulus EEG Alpha Activity Reveals Expectancy in the Direction of Stimulus Changes,” Proc. The 49th Annual Meeting of Society for Neuroscience (Neuroscience 2019), Chicago, USA, Oct. 19-23, 2019.
S.-H. Lee, M. Lee, J.-H. Jeong, S.-W. Lee, “Towards an EEG-based Intuitive BCI Communication System Using Imagined Speech and Visual Imagery,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2019), Bari, Italy, Oct. 6-9, 2019.
M. Lee, B. Baird, O. Gosseries, J. O. Nieminen, M. Boly, G. Tononi, S.-W. Lee, “Causal Connectivity According to Conscious Experience in Non-Rapid Eye Movement Sleep,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2019), Bari, Italy, Oct. 6-9, 2019.
K.-H. Shim, J.-H. Jeong, B.-H. Kwon, B.-H. Lee, S.-W. Lee, “Assistive Robotic Arm Control based on Brain-Machine Interface with Vision Guidance using Convolution Neural Network,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2019), Bari, Italy, Oct. 6-9, 2019.
N. Robinson, S.-W. Lee, and C. Guan, “EEG Representation in Deep Convolutional Neural Networks for Classification of Motor Imagery,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2019), Bari, Italy, Oct. 6-9, 2019.
J.-H. Cho, J.-H. Jeong, K.-H. Shim, and S.-W. Lee, “Classification of Various Grasping Tasks based on Temporal Segmentation Method Using EEG and EMG Signals,” Proc. of 8th Graz Brain-Computer Interface Conference, Graz, Austria, Sep. 16-20, 2019.
M. Lee, B. Biard, O. Gosseries, J. O. Nieminen, M. Boly, G. Tononi, and S.-W. Lee, “Graph Theoretical Analysis of Cortical Networks based on Conscious Experience,” Proc. 41th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2019), Berlin, Germany, July 23-27, 2019.
J.-H. Jeong, K.-H. Shim, D.-J. Kim, and S.-W. Lee, “Trajectory Decoding of Arm Reaching Movement Imageries for Brain-Controlled Robot Arm System,” Proc. 41th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2019), Berlin, Germany, July 23-27, 2019.
Y.-D. Yun, J.-H. Jeong, J.-H. Cho, D.-J. Kim, and S.-W. Lee, “Reconstructing Degree of Forearm Rotation from Imagined movements for BCI-based Robot Hand Control,” Proc. 41th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2019), Berlin, Germany, July 23-27, 2019.
C.-H. Han and H.-J. Hwang, “Onset Detection of a Hybrid EEG-NIRS Brain-Computer Interface,” Proc. 41th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2019), Berlin, Germany, July 23-27, 2019.
Y. Kim, S. Jang, K. Won, and S. C. Jun, “CANet: A Channel Attention Network to Determine Informative Multi-channel for Image Classification from Brain Signals,” Proc. 41th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2019), Berlin, Germany, July 23-27, 2019.
J. H. Shin, J. H. Lee, S. Tong, S. W. Kim, and S. W. Lee, “Designing Model-Based and Model-Free Reinforcement Learning Tasks without Human Guidance,” Proc. 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2019), Montreal, Canada, July 7-10, 2019.
D. Kim and S. W. Lee, “Behavioral and Neural Evidence for Intrinsic Motivation Effect on Reinforcement Learning,” Proc. 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2019), Montreal, Canada, July 7-10, 2019.
D. Kim and S. W. Lee, “Deciphering Model-based and Model-free Reinforcement Learning Strategies and Choices from EEG,” Proc. 4th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2019), Montreal, Canada, July 7-10, 2019.
H.-S. Kim, D. Pantazis, K. Kim, J. Kim, J.-E. Kim, H. Kwon, and B.-K. Min, “The Role of Thalamus in Conscious Experience using a Flicker Paradigm,” Proc. 23rd Annual Meeting of the ASSC (ASSC 2019), London Ontario, Canada, June 25-28, 2019.
H.-S. Kim, D. Pantazis, and B-K. Min, “Decoding EEG Signals Reveals Weak Auditory Neuronal Representations in Tinnitus,” Proc. Brain Twitter Conference, Mar. 14, 2019.
D. Kim, G. Y. Park, John P. O’Doherty, and S. W. Lee, “Evidence of Behavioral and Neural Interaction Between Task Complexity and State-space Uncertainty during Reinforcement Learning,” Proc. Computational and Systems Neuroscience (COSYNE), Lisbon, Portugal, Feb. 28-Mar. 3, 2019.
E. Jeon, W. Ko, and H.-I. Suk, “Domain Adaptation with Source Selection for Motor-Imagery based BCI,” Proc. 7th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 18-20, 2019.
W. Ko, E. Jeon, and H.-I. Suk, “Semi-Supervised Deep Adversarial Learning for Brain-Computer Interface,” Proc. 7th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 18-20, 2019.
B. Suh, I. Song, W. Jeon, Y. Cha, K. Che, S.-H. Lee, K. Lee, and J. An, “Cortical Regions Associated with Audio-Visual Integration: an fNIRS study,” Proc. 7th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 18-20, 2019.
D. Kim and S. W. Lee, “Decoding Both Intention and Learning Strategies from EEG Signals,” Proc. 7th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 18-20, 2019.
G.-Y. Choi, S.-I. Choi, R. Rahmawati, H.-T. Lee, Y.-S. Lee, S.-U. Kim, and H.-J. Hwang, “Biometrics Based on Single-Trial EEG,” Proc. 7th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 18-20, 2019.
S.-P. Seo, M.-H. Lee, J. Williamson, and S.-W. Lee, “Changes in Fatigue and EEG Amplitude during a Longtime Use of Brain-Computer Interface,” Proc. 7th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 18-20, 2019.
D.-K. Han, M.-H. Lee, J. Williamson, and S.-W. Lee, “The Effect of Neurofeedback Training in Virtual and Real Environments based on BCI,” Proc. 7th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 18-20, 2019.
S. Hwang, K. Hong, G. Son, and H. Byun, “EZSL-GAN: EEG-based Zero-Shot Learning approach using a Generative Adversarial Network,” Proc. 7th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 18-20, 2019.
Y. K. Park and W. Z. Chung, “Optimal Channel Selection using Covariance Matrix and Cross-combining Region in EEG-based BCI,” Proc. 7th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 18-20, 2019.
S.-J. Bak, Y. Pyo, and J.-C. Jeong, “Protection of EEG Data using Blockchain Platform,” Proc. 7th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 18-20, 2019.
J.-W. Park, S.-H. Dong, Y.-S. Hong, and J.-C. Jeong, “Quantification of Motion Artifacts in fNIRS Data by Monitoring Sensor Attachment,” Proc. 7th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 18-20, 2019.
C-.B. Song, N.-S. Kwak, M. Lee, and S.-W. Lee, “The Effect of a Binaural Beat Combined with Autonomous Sensory Meridian Response Triggers on Brainwave Entrainment,” Proc. 7th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 18-20, 2019.
S. K. Prabhakar, H. Rajaguru, and S.-W. Lee, “A Comprehensive Analysis of Alcoholic EEG Signals with Detrend Fluctuation Analysis and Post Classifiers,” Proc. 7th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Feb. 18-20, 2019.

2018

S. Lee, S. Han, and S. C. Jun, “EEG Hyperscanning for Eight or More Persons – Feasibility Study for Emotion Recognition using Deep Learning Technique,” Proc. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference 2018 (APSIPA ASC 2018), Hawaii, USA, Nov. 12-15, 2018.
S.-U. Kim, Y.-S. Lee, H.-T. Lee, and H.-J. Hwang, “Development of a Surface EMG Based Control System Using Finger Gestures,” Proc. 30th Conference of the Society for Medical Innovation and Technology-International Biomedical Engineering Conference (SMIT-IBEC 2018), Seoul, Korea, Nov. 8-10, 2018.
Rahmawati, S.-I. Choi, and H.-J. Hwang, “A Comparative Study of Reference Method for Ear-EEG,” Proc. 30th Conference of the Society for Medical Innovation and Technology-International Biomedical Engineering Conference (SMIT-IBEC 2018), Seoul, Korea, Nov. 8-10, 2018.
G.-Y. Choi and H.-J. Hwang, “Systematic Investigation of Biometric Authentication System Based on Resting-State Electroencephalography,” Proc. 30th Conference of the Society for Medical Innovation and Technology-International Biomedical Engineering Conference (SMIT-IBEC 2018), Seoul, Korea, Nov. 8-10, 2018.
J. Lee, J. Kim, M. Kwon, S. C. Jun, and M. Ahn, “Zero-Training based on Deep Learning and Big Data in P300 Brain-Computer Interface,” Proc. 30th Conference of the Society for Medical Innovation and Technology-International Biomedical Engineering Conference (SMIT-IBEC 2018), Seoul, Korea, Nov. 8-10, 2018.
Y. Kim, S. Cho, S. Jang, and S. C. Jun, “Are Visual Image Classification using Spatiotemporal Brain Signal Possible – Preliminary Result,” Proc. 30th Conference of the Society for Medical Innovation and Technology-International Biomedical Engineering Conference (SMIT-IBEC 2018), Seoul, Korea, Nov. 8-10, 2018.
S. Cho, Y. Kim, and S. C. Jun, “Categorized Object Image Classification with Visual Event-Related Field – Feedback Network,” Proc. 30th Conference of the Society for Medical Innovation and Technology-International Biomedical Engineering Conference (SMIT-IBEC 2018), Seoul, Korea, Nov. 8-10, 2018.
M. Kwon, H. Cho, K. Won, M. Ahn, and S. C. Jun, “Correlation between Event-Related Desynchronization and Motor Imagery BCI Performance,” Proc. Society for Neuroscience (SfN), San Diego, Nov. 3-7, 2018.
K. Won, M. Kwon, S. Jang, M. Ahn, and S. C. Jun, “Relationship between RSVP Task EEG Features and P300 Speller Performance” Proc. Society for Neuroscience (SfN), San Diego, Nov. 3-7, 2018.
S. Hwang, K. Hong, and H. Byun, “Zero Shot Generative Adversarial Network for EEG based Classification,” Proc. Society for Neuroscience (SfN), San Diego, Nov. 3-7, 2018.
S. Y. Heo, Y. H. Kim, Y. D. Sung, E. Kang, and S. W. Lee, “Impaired Reinforcement Learning Signal Representation in Depression,” Proc. Society for Neuroscience (SfN), San Diego, Nov. 3-7, 2018.
S. H. Lee, S. H. Jin, G. Lee, and J. An, “Influence of Skillfulness on Cortical Excitability: An fNIRS Study,” Proc. The Society for functional Near Infrared Spectroscopy conference (fNIRS 2018), Tokyo, Japan, Oct. 5-8, 2018.
G. Lee, S. H. Lee, S. H. Jin, and J. An, “Cortical Brain Activation during Playing a Rhythm Game with and without Musical Stimuli,” Proc. The Society for functional Near Infrared Spectroscopy conference (fNIRS 2018), Tokyo, Japan, Oct. 5-8, 2018.
S. Dong and J. Jeong, “Intra-subject Invariant Classification Modeling for Spectral Features in EEG Signals Using Decision Fusion Method,” Proc. 4th International Conference on NeuroRehabilitation (ICNR2018), Pisa, Italy, Oct. 16-20, 2018.
C. H. Lee, S. Y. Heo, and S. W. Lee, “Deep Neural Experimenter: Hypothesis and Covariate Auto-Verification Paradigm,” Proc. 18th China-Japan-Korea Joint Workshop on Neurobiology and Neuroinformatics (NBNI2018), Jeju, Korea, Oct. 14-16, 2018.
S. Jin and S. W. Lee, “Evidence of Human Metacognitive Exploration during Reinforcement Learning,” Proc. 18th China-Japan-Korea Joint Workshop on Neurobiology and Neuroinformatics (NBNI2018), Jeju, Korea, Oct. 14-16, 2018.
K. Won, M. Kwon, S. Lee, S. Jang, J. Lee, M. Ahn, and S. C. Jun “Seeking RSVP Task Features Correlated with P300 Speller Performance,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018), Miyazaki, Japan, Oct. 6-10, 2018.
M. Kwon, H. Cho, K. Won, M. Ahn, and S. C. Jun, “Event-Related Desynchronization (ERD) may not be Correlated with Motor Imagery BCI Performance,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018), Miyazaki, Japan, Oct. 6-10, 2018.
S. Han, M. Kwon, and S. C. Jun, “Feasibility Study of EEG Super-Resolution Using Deep Convolutional Networks,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018), Miyazaki, Japan, Oct. 6-10, 2018.
J. Park and S. W. Lee, “Solving the Memory-based Memoryless Trade-off Problem for EEG Signal Classification,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018), Miyazaki, Japan, Oct. 6-10, 2018.
C. Lee and S. W. Lee, “Error Backpropagation with Attention Control to Learn Imbalanced Data for Regression,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018), Miyazaki, Japan, Oct. 6-10, 2018.
D. Kim, G. Y. Park, and S. W. Lee, “Hierarchical Control Architecture Regulating Competition between Model-Based and Context-Dependent Model-Free Reinforcement Learning Strategies,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018), Miyazaki, Japan, Oct. 6-10, 2018.
D. Kim and S. W. Lee, “Model-based BCI: A Novel Brain-Computer Interface Framework for Reading out Learning Strategies underlying Choices,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018), Miyazaki, Japan, Oct. 6-10, 2018.
A. Tortay, J. H. Lee, C. H. Lee, and S. W. Lee, “Automated Knowledge Base Completion Using Collaborative Filtering and Deep Reinforcement Learning,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018), Miyazaki, Japan, Oct. 6-10, 2018.
J. H. Lee, S. W. Lee, and J. Padget, “Using Social Reasoning Framework to Guide Normative Behaviour of Intelligent Virtual Agents,” Proc. IEEE International Conference on Systems, Man, and Cybernetics (SMC 2018)), Miyazaki, Japan, Oct. 6-10, 2018.
S. H. Jin, S. H. Lee, G. Lee, and J. An, “Development of Neurofeedback Gait Training System for Patients with Chronic Stroke,” Proc. The 12th ICME International Conference on IEEE, Complex Medical Engineering (CME 2018), Shimane, Japan, Sep. 6-8, 2018.
J. Choi, S. Han, K. Won, and S. C. Jun, “The Neurophysiological Effect of Acoustic Stimulation with Real-Time Sleep Spindle Detection,” Proc. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2018), Hawaii, USA, July. 17-21, 2018.
C. Im, H. Seo, and S. C. Jun, “Stimulation Effect of Inter-Subject Variability in tDCS – Multi-Scale Modeling Study,” Proc. 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2018), Hawaii, USA, July. 17-21, 2018.
K. Won, M. Kwon, S. Lee, S. Jang, J. Lee, M. Ahn, and S. C. Jun, “ERP Variation may be Negatively Correlated with P300 Speller Performance,” Proc. The 2nd International Neuroergonomics Conference, Philadelphia, USA, Jun. 27-29, 2018.
S. H. Yi, J. H. Lee, C. H. Lee, J. Kim, S. J. An, and S. W. Lee, “A Competitive Path to Build Artificial Football Agents for AI Worldcup,” Proc. IEEE/IEIE Conference on Consumer Electronics (ICCE) Asia, Jeju, Korea, Jun. 24-26, 2018.
W. Ko, J. Yoon, and H.-I. Suk, “Towards Reducing Calibration in BCI: Artificial EEGs Generation by Deep Learning,” Proc. The 7th International BCI Meeting (BCI Meeting 2018), California, USA, May. 21-25, 2018. (Student award)
D. Kim and S. W. Lee, “Reading out Reinforcement Learning Strategies Underlying Trial-by-Trial Choice Behavior,” Proc. The 7th International BCI Meeting (BCI Meeting 2018), California, USA, May. 21-25, 2018.
M. Kwon, H. Cho, S. Lee, K. Won, J. Lee, M. Ahn, and S. C. Jun, “New Correlates of Motor Imagery BCI Performance – Eye-Open and Eye-Closed States,” Proc. The 7th International BCI Meeting (BCI Meeting 2018), California, USA, May. 21-25, 2018.
K. Won, M. Kwon, S. Lee, J. Lee, M. Ahn, and S. C. Jun, “Association between RSVP Task ERP and P300 Speller Performance,” Proc. The 7th International BCI Meeting (BCI Meeting 2018), California, USA, May. 21-25, 2018.
G.-Y. Choi, S.-I. Choi, H.-W. Kim, J.-H. Jang, and H.-J. Hwang, “Effect of Stimulation Frequency Band on SSVEP-based BCI,” Proc. The 7th International BCI Meeting (BCI Meeting 2018), California, USA, May. 21-25, 2018.
M. Lee, B. Baird, O. Gosseries, J. O. Nieminen, J.-H. Jeong, G. Tononi, and S.-W. Lee, “Classification of the Levels of Consciousness within Non-Rapid Eye Movement Sleep,” Proc. International Conference on Pattern Recognition and Artificial Intelligence 2018 (ICPRAI 2018), Montreal, Canada, May. 14-17, 2018.
S. Y. Heo and S. W. Lee, “Depressive Model-Based and Model-Free Reinforcement Learning,” Proc. Computational and Systems Neuroscience (COSYNE), Colorado, USA, Apr. 1-4, 2018.
D. Kim and S. W. Lee, “Dynamic Encoding of Reward and Latent Task Structures in Human Reinforcement Learning Neural Results: Arbitration Control Incorporating Baseline PE Distributions Two-Stage Markov Decision Task Model Comparison Model Predicts Subjects’ Choice Consistency,” Proc. Computational and Systems Neuroscience (COSYNE), Colorado, USA, Apr. 1-4, 2018.?
S. J. An and S. W. Lee, “Metacognitive Exploration in A Completely Unknown State Space,” Proc. Computational and Systems Neuroscience (COSYNE), Colorado, USA, Apr. 1-4, 2018.
S. H. Yi, J. H. Lee, and S. W. Lee, “Maximally Separating and Correlating Model-Based and Model-Free Reinforcement Learning Model-Based vs. Model-Free Reinforcement Learning (RL),” Proc. Computational and Systems Neuroscience (COSYNE), Colorado, USA, Apr. 1-4, 2018.
C. H. Lee, S. Y. Heo, and S. W. Lee, “Designing an Experiment without a Human Experimenter,” Proc. Computational and Systems Neuroscience (COSYNE), Colorado, USA, Apr. 1-4, 2018.
M. Lee, S.-K. Yeom, B. Baird, O. Gosseries, J. O. Nieminen, G. Tononi, and S.-W. Lee, “Spatio-Temporal Analysis of EEG Signal during Consciousness using Convolutional Neural Network,” Proc. 6th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Jan. 15-17, 2018.
D. Kim, C. Weston, and S. W. Lee, “EEG-based Classification of Learning Strategies: Model-Based and Model-Free Reinforcement Learning,” Proc. 6th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Jan. 15-17, 2018.
M. R. Song and S. W. Lee, “Meta BCI: Hippocampus-Striatum Network Inspired Architecture Towards Flexible BCI,” Proc. 6th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Jan. 15-17, 2018.
D. Kim and S. W. Lee, “Context-Dependent Meta-Control for Reinforcement Learning using a Dirichlet Process Gaussian Mixture Model,” Proc. 6th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Jan. 15-17, 2018.
W. Ko, J. Yoon, E. Kang, E. Jun, J.-S. Choi, and H.-I. Suk, “Deep Recurrent Spatio-Temporal Neural Network for Motor Imagery based BCI,” Proc. 6th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Jan. 15-17, 2018.
Y. Park and Y. Chung, “BCI Classification using Locally generated CSP Features,” Proc. 6th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Jan. 15-17, 2018.
Y. Park and Y. Chung, “Novel BCI Classification Method using Cross-Channel CSP Features,” Proc. 6th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Jan. 15-17, 2018.
G.-Y. Choi, S.-I. Choi, and H.-J. Hwang, “Individual Identification based on Resting-State EEG,” Proc. 6th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Jan 15-17, 2018.
J. Shin, A. Luhmann, B. Blankertz, D.-W. Kim, J. Mehnert, J. Jeong, H.-J. Hwang, and K.-R. Muller, “Open Access Repository for Hybrid EEG-NIRS Data,” Proc. 6th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Jan 15-17, 2018.
T. Kang, Y. Chen, S. Fazli, and C. Wallraven, “Decoding of Human Memory Formation with EEG Signals using Convolutional Networks,” Proc. 6th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Jan. 15-17, 2018.
G. Lee, S.H. Jin, S.T. Yang, B. Abibulaev, and J. An, “Cross-Correlation between HbO and HbR as An Effective Feature of Motion Artifact in fNIRS Signal,” Proc. 6th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Jan. 15-17, 2018.
S.T. Yang, S.H. Jin, G. Lee, S.Y. Jeong, and J. An, “Dominant and Subdominant Hand Exhibit Different Cortical Activation Patterns during Tactile Stimulation: An fNIRS Study,” Proc. 6th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Jan. 15-17, 2018.
S. Dong and J. Jeong, “Noise Reduction in fNIRS data Using Extended Kalman Filter Combined with Short Separation Measurement,” Proc. 6th IEEE International Winter Conference on Brain-Computer Interface, Gangwon, Korea, Jan. 15-17, 2018.

2017

T. Kang, Y. Chen, S. Fazli, and C. Wallraven, “Predicting What You Remember from Brain Activity: EEG-based Decoding of Long-term Memory Formation,” Proc. Symbiotic 2017, Eindhoven, Netherlands, Dec. 18-19, 2017.
D. Kim and S. W. Lee, “Dirichlet Process-based Arbitration Control of Reinforcement Learning,” Proc. 5th International Conference on Robot Intelligence Technology and Applications, Daejeon, Korea, Dec. 13-15, 2017.
J. Shin, K.-R. Muller, and H.-J. Hwang, “Hybrid EEG-NIRS Brain Computer Interface Under Eyes-Closed Condition,” Proc. Asia-Pacific Signal and Information Processing Association (APSIPA) 2017, Kuala Lumpur, Malaysia, Dec. 12-15, 2017.
S.-K. Yeom, H.-J. Kim, K.-S. Seo, H. J. Kim, and S.-W. Lee, “EEG-Based Classification of Consciousness during Sedation using Global Spectra Principal Component,” Proc. 4th Asian Conference on Pattern Recognition, Nanjing, China, Nov. 26-29, 2017.
K.-T. Kim, K.-H. Park, and S.-W. Lee, “An Adaptive Convolutional Neural Network Framework for Multi-User Myoelectric Interfaces,” Proc. 4th Asian Conference on Pattern Recognition (ACPR), Nanjing, China, Nov. 26-29, 2017.
S.-M. Lee, J.-W. Kim, and S.-W. Lee, “Detecting Driver’s Braking Intention using Recurrent Convolutional Neural Network based on EEG Analysis,” Proc. 4th Asian Conference on Pattern Recognition (ACPR), Nanjing, China, Nov. 26-29, 2017.
G. Lee, S. H. Jin, S. H. Lee, J. An, and B. Abibullaev, “fNIRS Motion Artifact Correction for Overground Walking using Entropy Based Unbalanced Optode Decision and Wavelet Regression Neural Network,” Proc. IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), Daegu, Korea Nov. 16-18, 2017.
M. Kwon, H. Cho, S. Ahn, K. Kim, and S. C. Jun, “Affective Auditory Stimuli using Simultaneous MEG and EEG Source Localization Study,” Proc. Society for Neuroscience (SfN), Washington, DC. Nov. 11-15, 2017.
S. Lee, S. Han, and S. C. Jun, “Four-class Emotion Classification using One-dimensional Convolution Neural Networks An EEG Study,” Proc. Society for Neuroscience (SfN), Washington, DC. Nov. 11-15, 2017.
S. J. An, J. Y. Kim, and S. W. Lee, “Metacognitive Reinforcement Learning,” Proc. 18th International Symposium on Advanced Intelligent Systems (ISIS) 2017, Daegu, Korea, Oct. 11-14, 2017.
J. Choi, S. Han, and S. C. Jun, “Subject-dependent Parameter Optimization for Automatic Spindle Detection Algorithm,” Proc. BACI Conference 2017, Bern, Switzerland, Sep. 02, 2017.
E.-J. Jun and H.-I. Suk, “Region-Wise Stochastic Pattern Modeling for Autism Spectrum Disorder Identification and Temporal Dynamics Analysis,” Proc. International Workshop on Connectomics in NeuroImaging (CNI) (in conjunction with MICCAI), Quebec, Canada, Sep. 14, 2017.
J. -S. Yoon and H.-I. Suk, “Gated Two-Stage Convolutional Neural Network for Ischemic Stroke Lesion Segmentation,” Proc. International Workshop on Ischemic Stroke Lesion Segmentation Challenge (ISLES) 2017 (in conjunction with MICCAI), Quebec, Canada, Sep. 14, 2017.
J. Honer, S. Nakajima, A. Bauer, K.-R. Muller, and N. Gornitz, “Minimizing Trust Leaks for Robust Sybil Detection,” Proc. 34th International Conference on Machine Learning (ICML), Sydney, Australia, Aug. 06-11, 2017.
G.-Y. Choi, S.-I. Choi, and H.-J. Hwang, “Finding EEG Frequency Bands Related to Concentration,” Proc. 1st Biannual Neuroadaptive Technology Conference, Berlin, Germany, July 19-21, 2017.
S.-I. Choi and H.-J. Hwang, “EEG-based Biometric Authentication: A Preliminary Study,” Proc. 1st Biannual Neuroadaptive Technology Conference, Berlin, Germany, July 19-21, 2017.
M. Lee, R. D. Sanders, S.-K. Yeom, D.-O. Won, H.-J. Kim, B.-R. Lee, K.-S. Seo, H. J. Kim, G. Tononi, and S.-W. Lee, “Change in Functional Networks for Transitions between States of Consciousness during Midazolam-induced Sedation,” Proc. 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017), Jeju, Korea, July 11-15, 2017.
H.-J. Hwang, “EMG-based Prosthesis Control for Upper Limb Amputation,” Proc. 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017), Jeju, Korea, July 11-15, 2017.
E.-J. Kim, W. N. Kang, K. Kim, S.-I. Choi, and H.-J. Hwang, “Individual Identification based on Electroencephalogram (EEG),” Proc. 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017), Jeju, Korea, July 11-15, 2017.
G.-Y. Choi, S.-I. Choi, and H.-J. Hwang, “Investigation of Frequency Bands Associated with Concentration,” Proc. 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2017), Jeju, Korea, July 11-15, 2017.