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BCI 2022: Gangwon-do, Korea
- 10th International Winter Conference on Brain-Computer Interface, BCI 2022, Gangwon-do, Korea, Republic of, February 21-23, 2022. IEEE 2022, ISBN 978-1-6654-1337-4
- Miseon Shim, Seung-Hwan Lee, Han-Jeong Hwang:
A novel neurophysiological feature based on quantifying EEG data for separating of patients in psychiatric disorders with comorbidities. 1-3 - Byeong-Hoo Lee, Jeong-Hyun Cho, Byoung-Hee Kwon:
A Factorization Approach for Motor Imagery Classification. 1-5 - Ji-Seon Bang, Seong-Whan Lee:
Interpretable Convolutional Neural Networks for Subject-Independent Motor Imagery Classification. 1-5 - Dong-Kyun Han, Serkan Musellim, Dong-Young Kim, Ji-Hoon Jeong:
Confidence-Aware Subject-to-Subject Transfer Learning for Brain-Computer Interface. 1-4 - Youmin Shin, Jii Kwon, June Sic Kim
, Chun Kee Chung:
Introduction of Beat Oscillation to Improve the Performance of Music BCI Decoder. 1-5 - Seong-Whan Lee, Klaus-Robert Müller:
Welcome Message from the General Chairs. 1- - Dojin Heo, Minju Kim, Jongsu Kim, Yun-Joo Choi, Sung-Phil Kim:
The Uses of Brain-Computer Interface in Different Postures to Application in Real Life. 1-5 - Jeong-Hyun Cho, Byoung-Hee Kwon, Byeong-Hoo Lee, Seong-Whan Lee:
Decoding Continual Muscle Movements Related to Complex Hand Grasping from EEG Signals. 1-5 - Ji Hyeok Jeong, Keun-Tae Kim, Song Joo Lee, Dong-Joo Kim, Hyungmin Kim:
CNN-based Subject-Transfer Approach for Training Minimized Lower-Limb MI-BCIs. 1-4 - Seo-Hyun Lee, Young Eun Lee, Seong-Whan Lee:
Toward Imagined Speech based Smart Communication System: Potential Applications on Metaverse Conditions. 1-4 - Vadim V. Nikulin:
Predicting task performance and brain responses with ongoing neural activity. 1-2 - Young Ho Kang, Dongjae Kim, Sang Wan Lee:
Meta-BCI: Perspectives on a role of self-supervised learning in meta brain computer interface. 1-5 - Seungwoo Jeong
Continuous Riemannian Geometric Learning for Sleep Staging Classification. 1-2 - Kevin Meng, Euiyoung Kim, Simon J. Vogrin
Implementation of a closed-loop BCI system for real-time speech synthesis under clinical constraints. 1-6 - Jaehoon Choi, Netiwit Kaongoen, Sungho Jo:
Investigation on Effect of Speech Imagery EEG Data Augmentation with Actual Speech. 1-5 - Francis R. Willett, Donald T. Avansino, Leigh R. Hochberg, Jaimie M. Henderson
Next-generation BCIs: Brain-to-text Communication via Attempted Handwriting. 1-2 - Georgios Zoumpourlis, Ioannis Patras:
CovMix: Covariance Mixing Regularization for Motor Imagery Decoding. 1-7 - Yeon Pyo, Sahn Nahm, Jichai Jeong:
Classification Performances due to Asymmetric Nonlinear Weight Updates in Analog Artificial Synapse-Based Hardware Neural Networks. 1-2 - Suzanna Becker, Kiret Dhindsa, Leila Mousapour, Yar Al Dabagh:
BCI Illiteracy: It's Us, Not Them. Optimizing BCIs for Individual Brains. 1-3 - Alex Efstathios Voinas
Motor Imagery EEG Signal Classification for Stroke Survivors Rehabilitation. 1-5 - Aiping Wang, Junkongshuai Wang, Lusheng Liu, Wei Mu, Pengchao Wang, Jing Zhang, Zuoting Song, Yuan Zhang, Gege Zhan, Xuze Zhang, Lihua Zhang, Xiaoyang Kang
SEEG signal processing methods in the application of epilepsy recognition. 1-6 - Myeong Hyeon Kim, Dongjae Kim, Eunsong Jo, Sang Wan Lee:
Goal-Driven Atari Environment. 1-4 - Young Eun Lee, Seo-Hyun Lee:
EEG-Transformer: Self-attention from Transformer Architecture for Decoding EEG of Imagined Speech. 1-4 - Hyung-Ju Ahn, Dae-Hyeok Lee:
Decoding 3D Representation of Visual Imagery EEG using Attention-based Dual-Stream Convolutional Neural Network. 1-5 - Justin Kilmarx, Hannes Gamper, Dimitra Emmanouilidou, David Johnston, Ed Cutrell, Andrew D. Wilson, Ivan Tashev:
Investigating Visual Imagery as a BCI Control Strategy: A Pilot Study. 1-6 - Young-Seok Kweon, Gi-Hwan Shin:
Possibility of Sleep Induction using Auditory Stimulation based on Mental States. 1-4 - Hyung-Tak Lee, Soyeon Jun, June Sic Kim
Decoding the Performance of a Memory Task Using Single-trial Intracranial EEG. 1-3 - 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. 1-5 - Maryam Alimardani
Individual Differences in Motor Imagery BCIs: a Study of Gender, Mental States and Mu Suppression. 1-7 - Gi-Hwan Shin, Young-Seok Kweon:
Differential EEG Characteristics during Working Memory Encoding and Re-encoding. 1-4 - Irina Dolzhikova, Berdakh Abibullaev, Amin Zollanvari:
An Ensemble of Convolutional Neural Networks for Zero-Calibration ERP-Based BCIs. 1-4 - Pilhyeon Lee, Sunhee Hwang, Jewook Lee, Minjung Shin, Seogkyu Jeon, Hyeran Byun:
Inter-subject Contrastive Learning for Subject Adaptive EEG-based Visual Recognition. 1-6 - Rainer Goebel
Reading Imagined Letter Shapes from the Mind's Eye Using Real-time 7 Tesla fMRI. 1-3 - Seonghun Park
Development of an In-Car Environment Control System Using an SSVEP-based BCI with Visual Stimuli Presented on a Head-Up Display. 1-2 - Zhining Chen, Mahta Mousavi, Virginia R. de Sa:
Multi-Subject Unsupervised Transfer with Weighted Subspace Alignment for Common Spatial Patterns. 1-6 - Simon Colin, Kathy L. Ruddy
A wireless, wearable Brain-Computer Interface for neurorehabilitation at home; A feasibility study. 1-6 - Wei Mu, Tao Fang, Pengchao Wang, Junkongshuai Wang, Aiping Wang, Lan Niu, Jianxiong Bin, Lusheng Liu, Jing Zhang, Jie Jia, Lihua Zhang, Xiaoyang Kang
EEG Channel Selection Methods for Motor Imagery in Brain Computer Interface. 1-6 - Maxim Mametkulov, Abay Artykbayev, Darina Koishigarina, Amina Kenessova, Kamilla Razikhova, Taeho Kang, Christian Wallraven, Siamac Fazli:
Explainable machine learning for memory-related decoding via TabNet and non-linear features∗. 1-7 - Haram Kwon, Chaeeun Hwang, Sungho Jo:
Vision Combined with MI-Based BCI in Soft Robotic Glove Control. 1-5 - Tao Fang, Wei Mu, Zuoting Song, Song Le, Yuan Zhang, Xueze Zhang, Gege Zhan, Junkongshuai Wang, Lihua Zhang, Jianxiong Bin, Lusheng Liu, Pengchao Wang, Xiaoyang Kang
Denoising of EEG Signal Using Permutation Entropy and Source Imaging. 1-4 - Netiwit Kaongoen, Jonghee Jeon, Sungho Jo:
Enhancing the Performance of P300-based BCIs by tDCS of the Left VL-PFC. 1-5 - Dae-Hyeok Lee, Sung-Jin Kim, Keon-Woo Lee:
Decoding High-level Imagined Speech using Attention-based Deep Neural Networks. 1-4 - Joung-Woo Hyung, Seho Lee
Importance of the Quantitative Change of EEG Theta/Beta Ratio Between Preparation and Motor Imagery: Correlation with the Performance of Classification. 1-4 - Corentin Piozin
Motion prediction for the sensorimotor control of hand prostheses with a brain-machine interface using EEG. 1-8 - Jinhyo Shin, Wonzoo Chung:
Motor Imagery Classification based on Multi-Kernel CNN with the amalgamated Cross Entropy Loss. 1-4 - Klaus-Robert Müller
Deep Learning for Whole-Brain Cognitive Decoding. 1-3 - Myoung-Ki Kim, Jeong-Hyun Cho, Hye-Bin Shin:
Recognition of Tactile-related EEG Signals Generated by Self-touch. 1-4 - Dong-Hee Shin, Dong-Hee Ko, Ji-Wung Han, Tae-Eui Kam:
Evolutionary Reinforcement Learning for Automated Hyperparameter Optimization in EEG Classification. 1-5 - Neta B. Maimon, Lior Molcho
EEG reactivity changes captured via mobile BCI device following tDCS intervention - a pilot-study in disorders of consciousness (DOC) patients. 1-3
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