BCI 2021

			AUTHOR	AFFILIATION	TITLE
Day 1	Session 1: State-of-the-Art Techniques for EEG Decoding (Chair: S. Choi)	13:10~13:35 (25')	S. Choi	BARO AI	Meta-learning: Towards Fast Adaptation in Multi-Subject EEG
		13:35~13:50 (15')	K. Kunanbayev, B. Abibullaev, A. Zollanvari	Nazarbayev University	Data Augmentation for P300-based Brain-Computer Interfaces Using Generative Adversarial Networks
		13:50~14:05 (15')	J. H. Jeong, D.-J. Kim, H. Kim	KIST	Hybrid Zero-Training BCI based on Convolutional Neural Network for Lower-limb Motor-Imagery
		14:05~14:20 (15')	D. Kim, M. H. Kim, S. W. Lee	KAIST	Decoding learning strategies extracts generalizable features for decoding decisions
		14:20~14:35 (15')	B. H. Kim, J. W. Choi, S. Jo	KAIST	Rank-based Discriminative Feature Learning for Motor Imagery Classification in EEG signals
	Break (25')
	Spotlight 1 (Chair: T.-E. Kam)	15:00~16:25 (85')	J. Lee, W. Chung		Motor Imagery Classification using local region CSP features with high-gamma band
			E. Petoku, G. Capi		Object Movement Motor Imagery for EEG based BCI System using Convolutional Neural Networks
			K.-T. Kim, J. Choi, H. Kim, S. J. Lee		Subject-Transfer Approach based on Convolutional Neural Network for the SSSEP-BCIs
			M. Shim, S.-H. Lee, H.-J. Hwang		Functional connectivity-based EEG features to assist the diagnosis of post-traumatic stress disorder patients
			J. W. Choi, B. H. Kim, S. Jo		Asynchronous Motor Imagery Brain-Computer Interface for Simulated Drone Control
			N. Kobayashi, T. Morooka		Application of High-accuracy Silent Speech BCI to Biometrics using Deep Learning
			S. Hwang, P. Lee, S. Park, H. Byun		Learning Subject-independent Representation for EEG-based Drowsy Driving Detection
			M. Kim, Y. J. Choi, J. Kim, S.-P. Kim		The effect of video distraction on a visual P300 BCI
			S. Park, J. Ha, H.-S. Cha, K.-G. Lee, C.-H. Im		Development of an Online Home Appliance Control System for the Elderly Based on SSVEP-Based Brain-Computer Interface: A Feasibility Study
			B.-H. Lee, B.-H. Kwon, D.-Y. Lee, J.-H. Jeong		Speech Imagery Classification using Length-Wise Training based on Deep Learning
			S. Olesen, R. Das, M. Olsson, M. A. Khan, S. Puthusserypady		Hybrid EEG-EOG-based BCI system for Vehicle Control
			C. Liu, D. Yu, J. Zhang, S. Xie		A Utility Human Machine Interface Using Low Cost EEG Cap and Eye Tracker
			Y.-S. Kweon, G.-H. Shin, H.-G. Kwak, M. Lee		Automatic Micro-sleep Detection under Car-driving Simulation Environment using Night-sleep EEG
			B. Wan, B. Xiong, J. Huang, P. Yang		A Novel SSVEP-based Word Speller Based on Sliding Multi-Window Strategy
			K. Kunanbayev, D. Azhigulov, B. Abibullaev, A. Zollanvari		Deep Transfer Learning for Subject-Independent ERP-based BCIs
			T. Kim, Y. Seo, J. Lee, S. Chae, J. An		Brain to Music : Musical Representation from Stress-Induced EEG
			G.-Y. Choi, W.-S. Kim, H.-J. Hwang		Electroencephalography-based a Motor Hotspot Identification Approach Using Deep-Learning
			J.-H. Cho, J.-H. Jeong, M.-K. Kim, S.-W. Lee		Towards Neurohaptics: Brain-Computer Interfaces for Decoding Intuitive Sense of Touch
			J. Ha, L. Kim		A brain-computer interface based meal-assist robot control system
			P. Tan, S. Mo, W. Sa		Multi-Filters Common Spatial Pattern with NSGA-II-Based Feature Selection in Brain-Computer Interface
			B. Koo, D.-H. Kim, J. Ha, L. Kim		An approach for assessing arousal characteristics of ASMR using electroencephalographic power
			D.-K. Han, J.-H. Jeong		Domain Generalization for Session-Independent Brain-Computer Interface
			K. Tsuru, A. Inoue		Real-time concentration measurement by forehead cerebral blood flow dynamics using NIRS
			H. Lim, J. Ku		Effect of repetitive neurofeedback training on brain activation during hand exercise
			Y. Zhang, S. Le, J. Guo, Z. Song, T. Fang, X. Zhang, G. Zhan, S. Wang, H. Li, J. Tao, J. Liang, L. Zhang, X. Kang		Removing Artifacts of Invasive Neural Recording Induced by MRI Scanning
			T. Fang, Z. Song, L. Niu, S. Le, Y. Zhang, X. Zhang, G. Zhan, S. Wang, H. Li, Y. Lin, J. Jia, L. Zhang, X. Kang		Recent Advances of P300 Speller Paradigms and Algorithms
	Break (15')
	Session 2: Deep Learning for BCI (Co-Chairs: K.-R. Müller & W. Chung)	16:40~17:05 (25')	K.-R. Müller	Technical University of Berlin	Analysing Neural Data with Deep Convolutive Neural Networks
		17:05~17:20 (15')	A. Partovi, F. Goodarzy	University of Melbourne	A Deep Learning Algorithm for Classifying Grasp Motions using Multi-session EEG Recordings
		17:20~17:45 (25')	A. Gramfort	INRIA, Univ. Paris-Saclay	From Supervised to Self-supervised Learning on EEG Signals
		17:45~18:00 (15')	J.-S. Bang, J.-H. Jeong, D.-O. Won	Korea University	Classification of Visual Perception and Imagery based EEG Signals Using Convolutional Neural Networks

Day 2	Session 3: Semi-Invasive BCI (Co-Chairs: D. Hermes & H. Kim)	09:00~09:25 (25')	D. Hermes	Mayo Clinic	Multimodal Imaging and Its Relation to Brain-Computer Interfaces
		09:25~09:40 (15')	S. Ryun, J. S. Kim, C. K. Chung	SNUH	Dynamic Frequency and Multi-site Cortical Stimulation for Inducing Artificial Somatosensation: A Preliminary Study
		09:40~10:05 (25')	S.-P. Kim	UNIST	Decoding Kinematics-driven Neural Representations of M1 Activity for Intracortical Brain-Machine Interfaces
		10:05~10:20 (15')	Y. Shin, J. S. Kim, C. K. Chung	SNUH	Proof of Beat Entrainment and its Characteristic
	Break (30')
	Session 4: Sensorimotor BCI (Co-Chairs: G. Cuntai & H.-I. Suk)	10:50~11:15 (25')	G. Cuntai	Nanyang Technological University	Decoding & Analysis of Motor Imagery with Deep Neural Networks
		11:15~11:30 (15')	J. Yang, S. Cha, D. Yun, J. An	DGIST	Effects of tDCS on Cortical Motor Facilitation in Performing Motor Execution
		11:30~11:45 (15')	Z. Cui, X. Fu, X. Wan, J. Li, W. Chen, Y. Li, S. Zhu	Zhejiang University	The brain-computer interface based robot gives spinal cord injury patients a full- cycle active rehabilitation
		11:45~12:00 (15')	K. Won	GIST	Selective Subject Pooling Strategy to Achieve Subject-Independent Motor Imagery BCI
	Lunch (90')
	Session 5: Toward Daily-Life BCI Applications (Chair: H.-J. Hwang)	13:30~13:55 (25')	H.-J. Hwang	Korea University	Brain-Computer Interface Based on Ear-EEG
		13:55~14:10 (15')	S. Bak, J. Shin, J. Jeong	Korea University	Mutual Interaction between Genders with Stress or Non-Stress by Positive Stimulus Characteristics Using fNIRS
		14:10~14:25 (15')	K. Miyamoto, H. Tanaka, S. Nakamura	Nara Institute of Science and Technology	Emotion Estimation from EEG Signals and Expected Subjective Evaluation
		14:25~14:40 (15')	C.-H. Lee, H.-J. Kim, J.-W. Heo, H. Kim, D.-J. Kim	Korea University	Improving Sleep Stage Classification Performance by Single-Channel EEG Data Augmentation via Spectral Band Blending
	Break (10')
	Spotlight 2 (Chair: S.-P. Kim)	14:50~16:05 (75')	Z. Song, T. Fang, J. Ma, Y. Zhang, S. Le, G. Zhan, X. Zhang, S. Wang, H. Li, Y. Lin, J. Jia, L. Zhang, X. Kang		Evaluation and Diagnosis of Brain Diseases based on Non-invasive BCI
			S. Le, Y. Zhang, Y. Fu, T. Fang, Z. Song, X. Zhang, G. Zhan, S. Wang, H. Li, J. Tao, J. Liang, L. Zhang, X. Kang		Implantable Optoelectronic Neural Interface for Optogenetics
			X. Zhang, Z. Song, S. Li, Y. Zhang, T. Fang, S. Yan, H. Li, J. Jia, L. Zhang, H. Wang, X. Kang		Brain Computer Interface for the Hand Function Restoration
			R. Alami, A. Partovi, F. Goodarzy		Exploring a Deeper Convolutional Neural Network Architecture with high dropout for Motor Imagery BCI Decoding
			P. Wang, Z. Song, Y. Fu, T. Fang, Y. Zhang, X. Zhang, S. Wang, H. Li, Y. Lin, J. Jia, L. Zhang, X. Kang		Application of Combined Brain Computer Interface and Eye Tracking
			A. Kabdislam		EEG Decoding and Classification using Deep Learning with Convolutional Neural Networks
			D.-H. Lee, H.-J. Ahn, J.-H. Jeong, S.-W. Lee		Design of an EEG-based Drone Swarm Control System using Endogenous BCI Paradigms
			B.-H. Kwon, B.-H. Lee, J.-H. Jeong		Motor Imagery Classification Emphasizing Corresponding Frequency Domain Method based on Deep Learning Framework
			B. Alchalabi, J. Faubert, D. Labbé		Generic BCI Classifiers for Discrimination of Motor Imagery of Left/Right Steps and Forward Walking
			S. J. Jang, Y. J. Yang, J. S. Kim, C. K. Chung, J. Jeong		Decoding trajectories of imagined hand movement using electrocorticograms for brain-machine interface
			M.-K. Kim, J.-H. Cho, J.-H. Jeong		Classification of Tactile Perception and Attention on Natural Textures from EEG Signals
			G. Zhan, Z. Song, T. Fang, Y. Zhang, S. Le, X. Kang		Applications of Spiking Neural Network in Brain Computer Interface
			L. Siyu, Z. Deyu, Q. Min, W. Kai, Y. Tianyi		Mind Controlled Vehicle Based on Lidar SLAM Navigation and SSVEP Technology
			D.-H. Ko, D.-H. Shin, T.-E. Kam		Attention-based spatio-temporal-spectral feature learning for subject-specific EEG classification
			W. Zhong, S. Alam, Y. Lim, N. Lilith, B. Josefsson, J. Lundberg, M. Bång		NIRS-based Cognitive Assessment of Safety-Critical Air Traffic Operations
			C. Lee, R.-H. Choi, J. An		Deep Neural Network for Drowsiness Detection from EEG
			S. Cha, J. Yang, J. An		Does FES Contribute to Cognitive Motor Task Discrimination?: An fNIRS study
			J. Kalafatovich, M. Lee		Subject-Independent Object Classification Based on Convolutional Neural Network from EEG Signals
			D.-K. Kim, Y.-T. Kim, H. R. Jung, H. Kim, D.-J. Kim		Sequential Transfer Learning via Segment After Cue Enhances the Motor Imagery-based Brain-Computer Interface
			S.-J. Kim, B.-H. Kwon, J.-H. Jeong		Intuitive Visual Imagery Decoding for Drone Swarm Formation Control from EEG Signals
			S. Jeong, E. Jeon, W. Ko, H.-I. Suk		Fine-grained Temporal Attention Network for EEG-based Seizure Detection
			M.-K. Jung, S. Lee, I.-N. Wang, H.-Y. Song, H. Kim, D.-J. Kim		Phase Transition in Previous Motor Imagery Affects Efficiency of Motor Imagery based Brain-Computer Interface
			K. Sharma, Shri Kalyanji Maharaj		Continuous and Spontaneous speed control of a robotic arm using SSVEP
			P. Ghane, U. Braga-Neto		Comparison of Classification Algorithms TowardsSubject-Specific and Subject-Independent BCI
			Y.-E. Lee, S.-W. Lee		Decoding Event-Related Potential from Ear-EEG Signals based on Ensemble Convolutional Neural Networks in Ambulatory Environment
	Session 6: New Directions/Paradigms for BCI (Co-Chairs: A. Kübler & J. An)	16:05~16:30 (25')	G. Curio	Chartié, Berlin	Listening to Neural Whisper: Non-invasive Single-trial EEG/MEG Analysis of Evoked Human Cerebral Population Spikes
		16:30~16:45 (15')	M. Rekrut, M. Sharma, M. Schmitt, J. Alexandersson, A. Krüger	German Research Center for Artificial Intelligence	Decoding Semantic Categories from EEG Activity in Silent Speech Imagination Tasks
		16:45~17:00 (15')	A. Kübler	Würzburg University	A Tactile Brain-Computer Interface for Virtual Wheelchair Control at Home
		17:00~17:15 (15')	J. Bennett, S. John, D. Grayden, A. Burkitt	University of Melbourne	Universal neurophysiological interpretation of EEG brain-computer interfaces
		17:15~17:30 (15')	G.-H. Shin, Y.-S. Kweon, M. Lee	Korea University	Predicting the Transition from Short-term to Long-term Memory based on Deep Neural Network

Day 3	Session 7: Silent Speech BCI (Co-Chairs: G. K. Anumanchipalli & S. W. Lee)	09:00~09:25 (25')	G. K. Anumanchipalli	UC San Francisco	Decoding Speech and Language Representations form the Brain
		09:25~09:40 (15')	N. Kaongoen, J. Choi, S. Jo	KAIST	Transcranial direct-current stimulation effect on a Speech-magery-based BCI
		09:40~09:55 (15')	K. Meng, D. Grayden, M. Cook, S. Vogrin, F. Goodarzy	University of Melbourne	Identification of discriminative features for decoding overt and imagined speech using stereotactic electroencephalography
		09:55~10:10 (15')	S.-H. Lee, M. Lee, S.-W. Lee	Korea University	Functional Connectivity of Imagined Speech and Visual Imagery based on Spectral Dynamics
	Closing