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BCI 2019: Gangwon, Korea
- 7th International Winter Conference on Brain-Computer Interface, BCI 2019, Gangwon, Korea (South), February 18-20, 2019. IEEE 2019, ISBN 978-1-5386-8116-9
- Gaeun Jeong, June Sic Kim
, Seokyun Ryun, Chun Kee Chung:
Interference in tactile discrmination performance by neuronal modulation. 1-4 - Andrei Chiuzbaian, Jakob Jakobsen, Sadasivan Puthusserypady:
Mind Controlled Drone: An Innovative Multiclass SSVEP based Brain Computer Interface. 1-5 - Changhee Han
Classification of Functional Near-Infrared Spectrocopy Signals during Passive and Combinatory Exercises for Neurorehabilitation. 1-2 - Junhyuk Choi, Hyungmin Kim:
Real-time Decoding of EEG Gait Intention for Controlling a Lower-limb Exoskeleton System. 1-3 - Ciarán McGeady, Aleksandra Vuckovic, Sadasivan Puthusserypady:
A Hybrid MI-SSVEP based Brain Computer Interface for Potential Upper Limb Neurorehabilitation: A Pilot Study. 1-6 - Satyam Kumar, Florian Yger, Fabien Lotte
Towards Adaptive Classification using Riemannian Geometry approaches in Brain-Computer Interfaces. 1-6 - Dong-Kyun Han, Min-Ho Lee
The Effect of Neurofeedback Training in Virtual and Real Environments based on BCI. 1-4 - Luis Alfredo Moctezuma, Marta Molinas:
Sex differences observed in a study of EEG of linguistic activity and resting-state: Exploring optimal EEG channel configurations. 1-6 - Berdakh Abibullaev
Novel Spatiospectral Features of ERPs Enhances Brain-Computer Interfaces. 1-4 - Jaehyung Lee, Kabmun Cha, Hyungmin Kim, Junhyuk Choi, Choong Hyun Kim, Song-Joo Lee:
Hybrid MI-SSSEP Paradigm for classifying left and right movement toward BCI for exoskeleton control. 1-3 - Eunjin Jeon
Domain Adaptation with Source Selection for Motor-Imagery based BCI. 1-4 - Hyunmi Lim, Jeonghun Ku:
High engagement in BCI action observation game by relevant character's movement. 1-3 - Amardeep Singh, Sunil Lal, Hans W. Guesgen
Motor Imagery Classification Based on Subject to Subject Transfer in Riemannian Manifold. 1-6 - Ga-Young Choi, Soo-In Choi, Rahmawati Rahmawati
Biometrics Based on Single-Trial EEG. 1-4 - Natalie Mrachacz-Kersting
Modulation of Cortical Excitability with BCI for Stroke Rehabilitation. 1-3 - Tanja Krumpe, Wolfgang Rosenstiel, Martin Spüler:
Prediction of item familiarity based on ERPs. 1-6 - Youngchul Kwak, Woo-Jin Song, Seong-Eun Kim:
Classification of Working Memory Performance from EEG with Deep Artificial Neural Networks. 1-3 - Yongkoo Park, Wonzoo Chung:
Optimal channel selection using covariance matrix and cross-combining region in EEG-based BCI. 1-4 - Stefan Debener, Martin G. Bleichner
Transparent electroencephalography? : Exploring ear-EEG for long-term, mobile electrophysiology. 1-2 - Seul-Kee Kim, Da-Hye Kim, Laehyun Kim:
Optimization method of error-related potentials to improve MI-BCI performance. 1-5 - Moritz Grosse-Wentrup
The Elusive Goal of BCI-based Communication with CLIS-ALS Patients. 1-2 - Seung-Pyo Seo, Min-Ho Lee
Changes in Fatigue and EEG Amplitude during a Longtime Use of Brain-Computer Interface. 1-3 - Sunil Kumar Prabhakar
A Comprehensive Analysis of Alcoholic EEG Signals with Detrend Fluctuation Analysis and Post Classifiers. 1-6 - Kai J. Miller, Geertjan J. M. Huiskamp, Dorien van Blooijs, Dora Hermes, Tineke A. Gebbink, Cyrille H. Ferrier, Peter C. van Rijen, Peter Gosselaar, Nick F. Ramsey, Frans S. S. Leijten:
An observation of anatomical clustering in inputs to primary motor cortex in cortico-cortical brain surface evoked potentials. 1-2 - Ziyu Li, Hailing Wang, Xia Wu, Xueyuan Xu
Working Memory Training Using EEG Neurofeedback Based on Theta Coherence of Brain Regions. 1-6 - Sunhee Hwang
EZSL-GAN: EEG-based Zero-Shot Learning approach using a Generative Adversarial Network. 1-4 - Artur Szalowski, Dorel Picovici:
Testing performance of multicolour checkerboard flickers against their greyscale versions for SSVEP-based BCI. 1-6 - SuJin Bak, Yeon Pyo, Jichai Jeong:
Protection of EEG Data using Blockchain Platform. 1-3 - Jieun Son, Jeonghun Ku:
Development of Brain Computer Interface based Action Observation Program with Functional Electrical Stimulation device(FES). 1-2 - Seung-Bo Lee, Hakseung Kim, Ji-Hoon Jeong
Recurrent convolutional neural network model based on temporal and spatial feature for motor imagery classification. 1-4 - Xu Han, Shangen Zhang, Xiaorong Gao:
A study on reducing training time of BCI system based on an SSVEP dynamic model. 1-2 - Chae-Bin Song, No-Sang Kwak, Minji Lee, Seong-Whan Lee:
The Effect of a Binaural Beat Combined with Autonomous Sensory Meridian Response Triggers on Brainwave Entrainment. 1-4 - Soo-Yeon Han, Jeong-Woo Kim, Seong-Whan Lee:
Recognition of Pilot's Cognitive States based on Combination of Physiological Signals. 1-5 - Boin Suh, Injun Song, Woojin Jeon, Younggil Cha, Kyerim Che, Seung Hyun Lee, Kijoon Lee, Jinung An:
Cortical Regions Associated with Visual-Auditory Integration: an fNIRS study. 1-6 - Jisung Park, Sung-Phil Kim:
Estimation of speed and direction of arm movements from M1 activity using a nonlinear neural decoder. 1-4 - Klaus-Robert Müller
Explainable Deep Learning for Analysing Brain Data. 1-2 - Wonjun Ko
Semi-Supervised Deep Adversarial Learning for Brain-Computer Interface. 1-4 - Ji-Wan Kim, Maeng-Nam Kim, Dong-Hyeon Kang, Min-Hee Ahn, Hyun Seok Kim
An online top-down SSVEP-BMI for augmented reality. 1-3 - Kabmun Cha, Jaehyung Lee, Hyungmin Kim, Choong Hyun Kim, Song Joo Lee:
Steady-State Somatosensory Evoked Potential based Brain-Computer Interface for Sit-to-Stand Movement Intention. 1-3 - Soren Moller Christensen, Nicklas Stubkjar Holm, Sadasivan Puthusserypady:
An Improved Five Class MI Based BCI Scheme for Drone Control Using Filter Bank CSP. 1-6 - Seong-Min Kim, Sung-Yong Hyun, Jeong-Woo Sohn, Soyong Chae, Sung-Phil Kim:
Neural response to grasp of robot hand from M1 area of Rhesus monkey. 1-4 - Vladimir A. Maksimenko, Alexander E. Hramov
Brain-to-brain interface increases efficiency of human-human interaction. 1-5 - Jinwoo Park, Sunghee Dong, Yuseong Hong, Jichai Jeong:
Quantification of Motion Artifacts in fNIRS Data by Monitoring Sensor Attachment. 1-2 - Junyong Park, Jin Woo Choi, Sungho Jo:
A SLAM Integrated Hybrid Brain-Computer Interface for Accurate and Concise Control. 1-5 - Pamela K. Douglas, David B. Douglas:
Reconsidering Spatial Priors In EEG Source Estimation : Does White Matter Contribute to EEG Rhythms? 1-12 - Xiaochen Liu, Jizhong Shen, Wufeng Zhao:
P300-based deception detection of mock network fraud with modified genetic algorithm and combined classification. 1-4 - Alexander E. Hramov
Immediate effect of neurofeedback in passive BCI for alertness control. 1-5 - Jin Woo Choi, Taehyean Choi, Shinjeong Kim, Sungho Jo:
Towards Utilization of Error-Related Potentials for Brain-to-Vehicle Communication. 1-6 - Sangwoo Park, Frank C. Park, Junhyuk Choi, Hyungmin Kim:
EEG-based Gait State and Gait Intention Recognition Using Spatio-Spectral Convolutional Neural Network. 1-3 - Andrea Kübler
Imagining the P300 Speller: Good idea or nonsense? 1-6 - Steven M. Chase:
Neural manifolds: from basic science to practical improvements in brain-computer intefaces. 1-2 - Dongjae Kim, Sang Wan Lee:
Decoding both intention and learning strategies from EEG signals. 1-4 - Siju G. Chacko, Prashant Tayade, Simran Kaur
Creation of a high resolution EEG based Brain Computer Interface for classifying motor imagery of daily life activities. 1-5 - Young-Tak Kim, Seung-Bo Lee, Hakseung Kim, Ji-Hoon Jeong
Exploring the Number of Repetitions in Trials for the Performance Convergence of Classification in Motor Imagery Task with Hand-Grasping. 1-4
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