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ORCIDBCI 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
, Wonjun Ko, Ahmad Wisnu Mulyadi, Heung-Il Suk:
Continuous Riemannian Geometric Learning for Sleep Staging Classification. 1-2 - Kevin Meng, Euiyoung Kim, Simon J. Vogrin, Mark J. Cook, Farhad Goodarzy, David B. Grayden, Chun Kee Chung:
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, Krishna V. Shenoy:
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, Rig Das, Muhammad Ahmed Khan, Iris Brunner, Sadasivan Puthusserypady:
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, Chun Kee Chung, Han-Jeong Hwang:
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, Diana-Eliza Gherman:
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, Rick van Hoof, Salil Bhat, Michael Lührs, Mario Senden:
Reading Imagined Letter Shapes from the Mind's Eye Using Real-time 7 Tesla fMRI. 1-3 - Seonghun Park, Min-Su Kim, Hyerin Nam, Chang-Hwan Im:
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, Hakseung Kim, Dong-Joo Kim:
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, Gabriela Herrera Altamira, Catherine Simon, Brice Lavrard, Jean-Yves Audran, Florian Waszak, Selim Eskiizmirliler:
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, Armin W. Thomas, Wojciech Samek:
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, Efraim Jaul, Nathan Intrator, Jeremy Barron, Oded Meiron:
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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