Preliminary Technical Program

 

   Overview
 

   Announcement
 

   Important Dates
 

   Committee
 

   Call for Papers
 

   Author Instructions
 

   Paper  Submissions
 

   Invited Talks
 

   Technical Program
 

   Registration
 

   Visa Assistance 
 

   Venue & Accomodation
 

   General Information
 

   Sponsors



Day 1
Session 1
(Clinical BCI Applications)
(Chair: Andrea Kubler)
13:10~13:40 (30')
TU Berlin
Immediate Brain Plasticity After One Hour of Brain-Computer Interface
13:40~13:55 (15')
Vladimir Maksimenko
Innopolis University
Brain-Computer Interface for the Epileptic Seizures Prediction and Prevention
13:55~14:10 (15')
Sunil Kumar Prabhakar
Korea University
Eigen Vector Method with Swarm and Non Swarm Intelligence Techniques for Epileptic Seizure Classification
14:10~14:25 (15')
Miseon Shim
Kumoh National Institute of Technology
Altered Cortical Activation and Functional Network in Post-Traumatic Stress Disorder (PTSD) during an Auditory Cognitive Processing
14:25~14:40 (15')
Junmo Yang
DGIST
Probe Configuration Design for Closed-loop Multi-Channel fNIRS-tDCS BCI
Break (30')
Session 2
(Deep Learning for BCI)
(Chair: Heung-Il Suk)
15:10~15:40 (30')
Alexander Meyer Deutsches Herzzentrum Berlin Real-time predictive analytics in critical care
15:40~15:55 (15')
Jeong-Hyun Cho Korea University A novel approach to classify natural grasp actions by estimating muscle-activity patterns from EEG signals
15:55~16:10 (15')
Hiroto Date Niigata University Deep Learning for Channel-Agnostic Brain Decoding across Multiple Subjects
16:10~16:25 (15')
Wonjun Ko Korea University VIGNet: A Deep Convolutional Neural Network for EEG-based Driver Vigilance Estimation
Break (25')
Spotlight 1
(Chair: Chang-Hwan Im)
16:50~17:40 (50')
BCI2020#14323 Development of an Online Home Appliance Control System Using Augmented Reality and an SSVEP-Based Brain-Computer Interface
BCI2020#14329 Implementation of Hardware-based Neural Network using Memristors with Abrupt SET and Gradual RESET Characteristics
BCI2020#14332 Subject-Independent EEG-based Emotion Recognition using Adversarial Learning
BCI2020#14338 3D CNN based Multilevel Feature Fusion for Workload Estimation
BCI2020#14339 Application of Hybrid Brain-Computer Interface with Augmented Reality on Quadcopter Control
BCI2020#14342 Data Augmentation Effects using Borderline-SMOTE on Classification of a P300-based BCI
BCI2020#14344 Spatio-Temporal Dynamics of Visual Imagery for Intuitive Brain-Computer Interface
BCI2020#14345 Classification of Selective Attention based on Steady-State Somatosensory Evoked Potentials using High-Frequency Vibration Stimuli
BCI2020#14347 Neural Oscillations for Encoding and Decoding Declarative Memory using EEG Signals
BCI2020#14350 Decoding prefrontal cognitive states from electroencephalography in virtual-reality environment
BCI2020#14352 Prediction of Visual Memorability with EEG Signals using Deep Neural Networks
 
Day 2
Session 3
(Exogenous BCI)
(Chair: Ulman Lindenberger)
09:00~09:30 (30') Andrea Kubler University of Wurzburg Reducing stimulation intensity in a visual ERP BCI to approach gaze-independent spelling
09:30~09:45 (15') Winko An Carnegie Mellon University Decoding auditory and tactile attention for use in an EEG-based brain-computer interface
09:45~10:00 (15') Junhyuk Choi University of Science and Technology KIST School Robust Semi-synchronous BCI Controller for Brain-Actuated Exoskeleton System
10:00~10:15 (15') Maurice Rekrut German Research Center for Artificial Intelligence Decoding Semantic Categories from EEG Activity in Object-Based Decision Tasks
10:15~10:30 (15') Avinash Kumar Singh University of Technology Sydney Prediction Error Negativity in Physical Human-Robot Collaboration
Break (30')
Session 4
(Sensorimotor BCI)
(Chair: Klaus-Robert Muller)
11:00~11:30 (30') Carmen Vidaurre TU Berlin Brain-computer interface and sensorimotor oscillations: novel perspectives and methods
11:30~11:45 (15') Sung-Phil Kim Ulsan National Institute of Science and Technology Sensory and Motor Information in Primary Motor Cortical Neurons During Arm Reaching To a Moving Target
11:45~12:00 (15') Dong Pyo Jang Hanyang University Deep learning classification features visualization for arm movement brain-computer interface
12:00~12:15 (15') Chun Kee Chung Seoul National University Macroscopic Aspects of Bi-directional BCI in Human
Lunch & Intermission
Session 5
(Unobstructive BCI)
(Chair: Alexander Meyer)
15:30~16:00 (30') Ulman Lindenberger Max Planck Institute for Human Development Human Cognitive Aging: Maintenance Versus Dedifferentiation
16:00~16:15 (15') Netiwit Kaongoen KAIST An Ear-EEG-based Brain-Computer Interface using Concentration Level for Control
16:15~16:30 (15') Kyla McMullen University of Florida The Design of an Algorithmic Modal Music Platform for Eliciting and Detecting Emotion
16:30~16:45 (15') Nicholas Opie University of Melbourne Mechanical Suitability of an Endovascular Brain-Computer Interface
Break (25')
Spotlight 2
(Chair: Tae-Eui Kam)
17:00~17:50 (50')
BCI2020#14354 Filter-bank Local Region Complex-valued Common Spatial Pattern for Motor Imagery Classification
BCI2020#14355 Transform based Feature Construction Utilizing Magnitude and Phase for Convolutional Neural Network in EEG Signal Classification
BCI2020#14360 Towards Paradigm-Independent Brain Computer Interfaces
BCI2020#14357 Decoding Visual Responses based on Deep Neural Networks with Ear-EEG Signals
BCI2020#14358 Design and Optimization of a Real-Time Asynchronous BCI Control Strategy for Robotic Manipulator Assistance
BCI2020#14366 Motor Hotspot Identification Based on Electroencephalography
BCI2020#14374 Implementation of multi-connected single-channel functional near-infrared spectroscopy system for hyperscanning study
BCI2020#14376 Importance of Reliable EEG Data in Motor Imagery Classification: Attention Level-based Approach
BCI2020#14377 Comparative analysis of NIRS-EEG motor imagery data using features from Spatial, Spectral and Temporal domain
BCI2020#14383 A Convolutional Neural Network Model for Decoding EEG signals in a Hand-Squeeze Task
BCI2020#14385 Identifying error features in a MI-BCI system using microstates
 
Day 3
Pannel Discussion
10:00~11:30 (90')
Towards better practical use of BCI in the clinic and daily life
Closing

 



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Last update: 26, Jun. 2019