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ORCIDBCI 2020: Gangwon, Korea
- 8th International Winter Conference on Brain-Computer Interface, BCI 2020, Gangwon, Korea (South), February 26-28, 2020. IEEE 2020, ISBN 978-1-7281-4706-2
- Seul-Kee Kim, Laehyun Kim:
Identifying error features in a MI-BCI system using microstates. 1-3 - Young-Seok Kweon, Minji Lee, Dong-Ok Won, Kwang-Suk Seo:
Prediction of Individual Propofol Requirements based on Preoperative EEG Signals. 1-5 - Sang-Yeong Jo, Jin-Woo Jeong:
Prediction of Visual Memorability with EEG Signals using Deep Neural Networks. 1-6 - Zahra Rezazadeh, Matthias Eidel, Sonja C. Kleih, Loïc Botrel, Andrea Kübler:
Reducing stimulation intensity in a visual ERP BCI to approach gaze-independent spelling. 1-5 - Winko W. An
, Hakim Si-Mohammed, Nicholas Huang, Hannes Gamper, Adrian K. C. Lee, Christian Holz, David Johnston, Mihai Jalobeanu, Dimitra Emmanouilidou, Edward Cutrell, Andrew D. Wilson, Ivan Tashev:
Decoding auditory and tactile attention for use in an EEG-based brain-computer interface. 1-6 - Sunhee Hwang, Minsong Ki, Kibeom Hong, Hyeran Byun:
Subject-Independent EEG-based Emotion Recognition using Adversarial Learning. 1-4 - Albina Li, Kanat Alimanov, Siamac Fazli, Min-Ho Lee:
Towards Paradigm-Independent Brain Computer Interfaces. 1-6 - Jaehoon Choi, Sungho Jo:
Application of Hybrid Brain-Computer Interface with Augmented Reality on Quadcopter Control. 1-5 - Hyeong-Jin Kim, Min-Ho Lee, Minji Lee:
A BCI based Smart Home System Combined with Event-related Potentials and Speech Imagery Task. 1-6 - Na Lu, Tao Yin, Xue Jing:
Deep Learning Solutions for Motor Imagery Classification: A Comparison Study. 1-6 - Do-Yeun Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Dong-Joo Kim:
Classification of Upper Limb Movements Using Convolutional Neural Network with 3D Inception Block. 1-5 - Jeonghyun Kim, Yongkoo Park, Wonzoo Chung:
Transform based feature construction utilizing magnitude and phase for convolutional neural network in EEG signal classification. 1-4 - Junmo Yang, Seunghui Cha, Dongwon Yun, Jinung An:
Probe Configuration Design for Closed-loop Multi-Channel fNIRS-tDCS BCI. 1-3 - Jae-Geun Yoon, Minji Lee:
Effective Correlates of Motor Imagery Performance based on Default Mode Network in Resting-State. 1-5 - Vladimir A. Maksimenko, Annika Lüttjohann, Sabrina van Heukelum, Janita Kelderhuis, Vladimir Makarov, Alexander E. Hramov, Alexey A. Koronovskii, Gilles van Luijtelaar:
Brain-computer interface for the epileptic seizures prediction and prevention. 1-5 - Maurice Rekrut, Mansi Sharma, Matthias Schmitt, Jan Alexandersson, Antonio Krüger:
Decoding Semantic Categories from EEG Activity in Object-Based Decision Tasks. 1-7 - Klaus-Robert Müller:
Analysing the Changing Brain: Immediate Brain Plasticity After One Hour of BCI. 1-2 - Jenifer Kalafatovich, Minji Lee:
Neural Oscillations for Encoding and Decoding Declarative Memory using EEG Signals. 1-5 - Nicholas L. Opie, Stephen M. Ronayne, Gil S. Rind, Peter E. Yoo, Thomas J. Oxley:
Mechanical suitability of an endovascular braincomputer interface. 1-6 - Mengfan Li, Fang Lin, Guizhi Xu:
A Maximum Fitting-based TrAdaBoost Method for Detecting Multiple Subjects' P300 Potentials. 1-5 - Junhyuk Choi, Keun-Tae Kim, Jaehyung Lee, Song Joo Lee, Hyungmin Kim:
Robust Semi-synchronous BCI Controller for Brain-Actuated Exoskeleton System. 1-3 - Xiaoqing Guan, Ming Zhang, Rumeng Wu, Han Gao, Qing Ai, Song Jin, You Wang, Guang Li:
Remote Control System of Spherical Robot based on Silent Speech Recognition. 1-6 - Andi Partovi, Farhad Goodarzy, Ewan S. Nurse, Philippa J. Karoly, Dean Freeston, Mark J. Cook, Anthony N. Burkitt, David B. Grayden:
A Convolutional Neural Network Model for Decoding EEG signals in a Hand-Squeeze Task1. 1-6 - Young-Eun Lee, Minji Lee:
Decoding Visual Responses based on Deep Neural Networks with Ear-EEG Signals. 1-6 - Netiwit Kaongoen, Sungho Jo:
An Ear-EEG-based Brain-Computer Interface using Concentration Level for Control. 1-4 - Dongjae Kim, Jiseong Park, Jeongseok Hwang, Wan-Hee Cho, Sang Wan Lee:
Decoding prefrontal cognitive states from electroencephalography in virtual-reality environment. 1-3 - Batyrkhan Saduanov, Dana Tokmurzina, Kassymzhomart Kunanbayev, Berdakh Abibullaev:
Design and Optimization of a Real-Time Asynchronous BCI Control Strategy for Robotic Manipulator Assistance. 1-5 - Yeon Pyo, Sahn Nahm, Jichai Jeong, Jaeyoung Shin:
Implementation of hardware-based neural network using memristors with abrupt SET and gradual RESET characteristics. 1-3 - Carmen Vidaurre, Marisol Gómez, Guido Nolte, Arno Villringer, Katherina von Carlowitz-Ghori, Vadim V. Nikulin:
Sources of linear and non-linear synchrony between brain and muscles: Linear and non-linear CMC sources. 1-5 - Keun-Tae Kim, Jaehyung Lee, Hyungmin Kim, Song Joo Lee:
Classification of Selective Attention based on Steady-State Somatosensory Evoked Potentials using High-Frequency Vibration Stimuli. 1-3 - Alexander Meyer:
Real-time predictive analytics in postoperative critical care. 1 - Tiffany C. Miller:
Brain-Computer Interface Based on Magnetic Particle Imaging For Diagnostic and Neurological Rehabilitation in Multiple Sclerosis. 1-6 - Seokyun Ryun, Yu Jin Yang, Jii Kwon, June Sic Kim, Chun Kee Chung:
Macroscopic Aspects of Bi-directional BCI in Human. 1-4 - Miseon Shim, Seung-Hwan Lee, Han-Jeong Hwang:
Altered cortical activation and functional network in post-traumatic stress disorder (PTSD) during an auditory cognitive processing. 1-4 - Jinwoo Park, Jichai Jeong, Jaeyoung Shin:
Implementation of multi-connected single-channel functional near-infrared spectroscopy system for hyperscanning study. 1-2 - Jeong-Hyun Cho, Ji-Hoon Jeong, Dong-Joo Kim, Seong-Whan Lee:
A Novel Approach to Classify Natural Grasp Actions by Estimating Muscle Activity Patterns from EEG Signals. 1-4 - Youngchul Kwak, Woo-Jin Song, Byoung-Kyong Min, Seong-Eun Kim:
3D CNN based Multilevel Feature Fusion for Workload Estimation. 1-4 - Sunil Kumar Prabhakar, Harikumar Rajaguru, Seong-Whan Lee:
Eigen Vector Method with Swarm and Non Swarm Intelligence Techniques for Epileptic Seizure Classification. 1-6 - Yongkoo Park, Wonzoo Chung:
Filter-bank local region complex-valued common spatial pattern for Motor imagery classification. 1-5 - Byeong-Hoo Lee, Ji-Hoon Jeong, Kyung-Hwan Shim, Dong-Joo Kim:
Motor Imagery Classification of Single-Arm Tasks Using Convolutional Neural Network based on Feature Refining. 1-5 - Hiroto Date, Keisuke Kawasaki, Isao Hasegawa, Takayuki Okatani:
Deep Learning for Channel-Agnostic Brain Decoding across Multiple Subjects. 1-6 - Avinash Kumar Singh, Stefano Aldini, Daniel Leong, Yu-Kai Wang, Marc G. Carmichael, Dikai Liu, Chin-Teng Lin:
Prediction Error Negativity in Physical Human-Robot Collaboration. 1-6 - Ga-Young Choi, Miseon Shim, Han-Jeong Hwang:
Motor Hotspot Identification Based on Electroencephalography. 1-4 - Cuntai Guan, Choon Guan Lim, Daniel Fung, Juan Helen Zhou, Ranga Krishnan, Tih Shih Lee:
BCI Facilitates the Improvement of Cognitive Functions in Children and Elderly. 1-2 - Ji-Hoon Jeong, Dae-Hyeok Lee, Hyung-Ju Ahn, Seong-Whan Lee:
Towards Brain-Computer Interfaces for Drone Swarm Control. 1-4 - Seho Lee, Young-Tak Kim, Seung-Ouk Hwang, Hakseung Kim, Dong-Joo Kim:
Importance of Reliable EEG Data in Motor Imagery Classification: Attention Level-based Approach. 1-4 - Wonjun Ko, Kwanseok Oh, Eunjin Jeon, Heung-Il Suk:
VIGNet: A Deep Convolutional Neural Network for EEG-based Driver Vigilance Estimation. 1-3 - Soyong Chae, Taehyung Kim, Sung-Phil Kim, Seong-Min Kim, Jeong-Woo Sohn:
Sensory and Motor Information in Primary Motor Cortical Neurons During Arm Reaching To a Moving Target. 1-3 - Ward Fadel, Csaba Kollod, Moutz Wahdow, Yahya Ibrahim, István Ulbert:
Multi-Class Classification of Motor Imagery EEG Signals Using Image-Based Deep Recurrent Convolutional Neural Network. 1-4 - Seonghun Park, Ho-Seung Cha, Jinuk Kwon, Hodam Kim, Chang-Hwan Im:
Development of an Online Home Appliance Control System Using Augmented Reality and an SSVEP-Based Brain-Computer Interface. 1-2 - Eduardo J. Santos González, Kyla A. McMullen:
The Design of an Algorithmic Modal Music Platform for Eliciting and Detecting Emotion. 1-3 - Byoung-Hee Kwon, Ji-Hoon Jeong, Dong-Joo Kim:
A Novel Framework for Visual Motion Imagery Classification Using 3D Virtual BCI Platform. 1-5 - Seokbeen Lim, Dong Pyo Jang, Hoseok Choi:
Deep learning classification features visualization for arm movement brain-computer interface. 1-3 - Ulman Lindenberger:
Human Cognitive Aging: Maintenance Versus Dedifferentiation. 1-2 - Taejun Lee, Minju Kim, Sung-Phil Kim:
Data augmentation effects using borderline-SMOTE on classification of a P300-based BCI. 1-4 - Ning Liu, Li Yao, Xiaojie Zhao:
A semi-supervised classification approach based on restricted Boltzmann machine for fMRI data. 1-4 - Seo-Hyun Lee, Minji Lee:
Spatio-Temporal Dynamics of Visual Imagery for Intuitive Brain-Computer Interface. 1-5 - Hyun-Ji Kim, In-Nea Wang, Young-Tak Kim, Hakseung Kim, Dong-Joo Kim:
Comparative Analysis of NIRS-EEG Motor Imagery Data Using Features from Spatial, Spectral and Temporal Domain. 1-4
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