Loading...

±¹Á¦Çà»ç

  >   Çмú´ëȸ   >   ±¹Á¦Çà»ç

Technical Program
Feb. 21, 2022 (UTC/GMT +09:00) Asia/Seoul)
Day 1
  13:05~13:10 Opening Remark
Session 1 (Clinical BCI Applications)
(Co-Chairs: Profs. C. Guan & J. S. Kim)
13:10~13:35
(25')
C. Guan
Nanyang University of Technology
Towards a Holistic Rehabilitation System based on Brain-Computer Interfaces
13:35~13:55
(20')
Y.-S. Kweon, G.-H. Shin
Korea University
Possibility of Sleep Induction using Auditory Stimulation based on Mental States
13:55~14:15
(20')
K. Meng, E. Kim, S. Vogrin, M. J. Cook, F. Goodarzy, D. B. Grayden, C. K. Chung
The University of Melbourne
Implementation of a closed-loop BCI system for real-time speech synthesis under clinical constraints
14:15~14:35 (20')
C. Piozin, B. Lavrard, C. Simon, J.-Y. Audran, F. Waszak, S. Eskiizmirliler
Université de Paris
Motion prediction for the sensorimotor control of hand prostheses with a brain-machine interface using EEG
14:35~14:55 (20')
N. B Maimon, L. Molcho, E. Jaul, N. Intrator, J. Barron, O. Meiron
Tel Aviv University
EEG reactivity changes captured via mobile BCI device following tDCS intervention - a pilot in disorders of consciousness (DOC) patients
Break (25')
Session 2 (Visual Imagery BCI)
(Co-Chairs: Profs. K.-R. Müller & T.-E. Kam)
15:20~15:45 (25')
K.-R. Müller Technical University of Berlin Deep Learning for Whole Brain Cognitive Decoding
15:45~16:05 (20')
J. Kilmarx, H. Gamper, D. Emmanouilidou, D. Johnston, E. Cutrell, A. Wilson, I. Tashev The University of Texas at Austin Investigating Visual Imagery as a BCI Control Strategy: A Pilot Study
16:05~16:25 (20')
B.-H. Kwon, J.-H. Cho, B.-H. Lee, J.-H. Jeong Korea University Decoding Visual Imagery from EEG Signals using Visual Perception Guided Network Training Method
16:25~16:45 (20')
H. Ahn, D. Lee Korea University Decoding 3D Representation of Visual Imagery EEG using Attention-based Dual-Stream Convolutional Neural Network
Break (20')
Spotlight 1
(Chair: Prof. T.-E. Kam)
17:05~17:55 (50') 4' * 10 papers
(Paper no. 1~10)
Feb. 22, 2022 (UTC/GMT +09:00) Asia/Seoul)
Day 2
Session 3 (Efficient BCI)
(Chair: Dr. H. Kim)
09:00~09:25
(25')
S. Becker
McMaster University
BCI Illiteracy: It's us, not them. Optimizing BCIs for individual brains
09:25~09:45 (20') Z. Chen, M. Mousavi, V. de Sa University of California San Diego Multi-subject unsupervised transfer with weighted subspace alignment for common spatial patterns
09:45~10:05 (20') D.-K. Han, S. Musellim, D.-Y. Kim, J.-H. Jeong Korea University Confidence-Aware Subject-to-Subject Transfer Learning for Brain-Computer Interface
10:05~10:25 (20') J.-H. Jeong, K.-T. Kim, S. J. Lee, D.-J. Kim, H. Kim KIST CNN-based Subject-Transfer Approach for Training Minimized Lower-Limb MI-BCIs
10:25~10:45 (20') I. Dolzhikova, B. Abibullaev, A. Zollanvari Nazarbayev University An Ensemble of Convolutional Neural Networks for Zero-Calibration ERP-Based BCIs
Break (25')
Session 4 (Innovative BCI Applications)
(Chair: Prof. S. W. Lee)
11:10~11:35 (25') K. V. Shenoy Stanford University Next-generation BCIs: Brain-to-text Communication via Attempted Handwriting
11:35~11:55 (20') S. Park, M.-S. Kim, H. Nam, C. -H. Im Hanyang University Development of an In-Car Environment Control System Using an SSVEP-based BCI with Visual Stimuli Presented on a Head-Up Display
11:55~12:15 (20') G.-H. Shin, Y.-S. Kweon Korea University Differential EEG Characteristics during Working Memory Encoding and Re-encoding
12:15~12:35 (20') Y. Shin, J. Kwon, J. S. Kim, C. K. Chung Seoul National University Hotspital Introduction of Beat Oscillation to Improve the Performance of Music BCI Decoder
Lunch (85')
Session 5 (Advanced Methodolgies for BCI)
(Chair: Prof. D.-J. Kim)
14:00~14:20 (20') T. Fang, W. Mu, Z. Song, S. Le, Y. Zhang, X. Zhang, G. Zhan, J. Wang, L. Zhang, J. Bin, L.g Liu, P. Wang, X. Kang Fudan University Denoising of EEG Signal Using Permutation Entropy and Source Imaging
14:20~14:40 (20') Y. H. Kang, D. Kim, S. W. Lee KAIST Meta-BCI: Perspectives on a role of self-supervised learning in meta brain computer interface
14:40~15:00 (20') D. -H. Shin, D. -H. Ko, J. -W. Han, T. -E. Kam Korea University Evolutionary Reinforcement Learning for Automated Hyperparameter Optimization in EEG Classification
15:00~15:25 (25') V. Nikulin Max Planck Institute Predicting task performance and brain responses with ongoing neural activity
Break (25')
Session 6 (Deep Learing for BCI)
(Chair: Prof. H. J. Hwang)
15:50~16:15 (25') R. Goebel Maastricht University Reading Imagined Letter Shapes from the Mind’s Eye using Real-time 7 Tesla fMRI
16:15~16:35 (20') J.-S. Bang, S.-W. Lee Korea University Interpretable Convolutional Neural Networks for Subject-Independent Motor Imagery Classification
16:35~16:55 (20') M. Mametkulov, A. Artykbayev, D. Koishigarina, A. Kenessova, K. Razikhova, T. Kang, C. Wallraven, S. Fazli Nazarbayev University Explainable machine learning for memory-related decoding via TabNet and non-linear features
16:55~17:15 (20') J. Shin, W. Chung Korea University Motor Imagery Classification based on Multi-Kernel CNN with the amalgamated Cross Entropy Loss
Spotlight 2
(Chair: Prof. D.-O. Won)
17:15~18:05 (50') 4' * 10 papers
(Paper no. 11~20)
Feb. 23, 2022 (UTC/GMT +09:00) Asia/Seoul)
Day 3
Session 7 (Silent BCI)
(Chair: Dr. J.-H. Jeong)
09:00~09:20 (20') S.-H. Lee, Y.-E. Lee, S.-W. Lee Korea University Toward Imagined Speech based Smart Communication System: Potential Applications on Metaverse Conditions
09:20~9:40 (20') J. Choi, N. Kaongoen, S. Jo KAIST Investigation on Effect of Speech Imagery EEG Data Augmentation with Actual Speech
9:40~10:00 (20') D.-H. Lee, S.-J. Kim, K.-W. Lee Korea University Decoding High-level Imagined Speech using Attention-based Deep Neural Networks
  10:00~10:05 (05') Closing Remarks

Spotlight List
# Authors Title
Spotlight 1
1 M. H. Kim, D. Kim, E. Jo, S.-W. Lee Goal-Driven Atari Environment
2 N. Kaongoen, J. Jeon, S. Jo Enhancing the Performance of P300-based BCIs by tDCS of the Left VL-PFC
3 B.-H. Lee, B.-H. Kwon, J.-H. Cho A Factorization Approach for Motor Imagery Classification
4 S. Jeong, W. Ko, A. W. Mulyadi, H.-I. Suk Continuous Riemannian Geometric Learning for Sleep Staging Classification
5 M.-K. Kim, J.-H. Cho, H.-B. Shin Recognition of Tactile-related EEG Signals Generated by Self-touch
6 Y. Pyo, S. Nahm, J.-C. Jeong Classification Performances due to Asymmetric Nonlinear Weight Updates in Analog Artificial Synapse-Based Hardware Neural Networks
7 W. Mu, J. Wang, T. Fang, P. Wang, L. Liu, A. Wang, L. Niu, J. Bin, J. Zhang, J. Jia, L. Zhang, X. Kang EEG Channel Selection Methods for Motor Imagery in Brain Computer Interface
8 A. Wang, J. Wang, L. Liu, W. Mu, P. Wang, J. Zhang, Z. Song, Y. Zhang, G. Zhan, X. Zhang, L. Zhang, X. Kang SEEG signal processing methods in the application of epilepsy recognition
9 C. Simon, K. Ruddy A wireless, wearable Brain-Computer Interface for neurorehabilitation at home; A feasibility study
10 A. E. Voinas, R. Das, M. A. Khan, I. Brunner, S. Puthusserypady Motor Imagery EEG Signal Classification for Stroke Survivors Rehabilitation
 
Spotlight 2
11 J.-H. Cho, B.-H. Kwon, B.-H. Lee, S.-W. Lee Decoding Continual Muscle Movements Related to Complex Hand Grasping from EEG Signals
12 H.-T. Lee, S. Jun, J. S. Kim, C. K.e Chung, H.-J. Hwang Decoding the Performance of a Memory Task Using Single-trial Intracranial EEG
13 M. Shim, S.-H. Lee, H.-J. Hwang A novel neurophysiological feature based on quantifying EEG data for seperating patients in psychiatric disorders with comorbidities
14 M. Alimardani, D.-E. Gherman Individual Differences in Motor Imagery BCIs: a Study of Gender, Mental States and Mu Suppression
15 J.-W. Hyung, S. Lee, H. Kim, D.-J. Kim Importance of the Quantitative Change of EEG Theta/Beta Ratio Between Preparation and Motor Imagery: Correlation with the Performance of Classification
16 H. Kwon, C. E. Hwang, S. Jo Vision Combined with MI-Based BCI in Soft Robotic Glove Control
17 Y.-E. Lee, S.-H. Lee EEG-Transformer: Self-attention from Transformer Architecture for Decoding EEG of Imagined Speech
18 D. Heo, M. Kim, J. Kim, Y. J. Choi, S.-P. Kim Use of Brain-Computer Interfaces in Different Postures for Daily Living Applications
19 G. Zoumpourlis, I. Patras CovMix: Covariance Mixing Regularization for Motor Imagery Decoding
20 P. Lee, S. Hwang, J. Lee, M. Shin, S. Jeon, H. Byun Inter-subject Contrastive Learning for Subject Adaptive EEG-based Visual Recognition