128 citations · 396 across the 49 of their papers we have counts for
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Towards Natural Brain-Machine Interaction using Endogenous Potentials based on Deep Neural Networks
Hyung-Ju Ahn, Dae-Hyeok Lee, Ji-Hoon Jeong +1
Human-robot collaboration has the potential to maximize the efficiency of the operation of autonomous robots. Brain-machine interface (BMI) would be a desirable technology to colla…
Decoding Event-related Potential from Ear-EEG Signals based on Ensemble Convolutional Neural Networks in Ambulatory Environment
Young-Eun Lee, Seong-Whan Lee
Recently, practical brain-computer interface is actively carried out, especially, in an ambulatory environment. However, the electroencephalography (EEG) signals are distorted by m…
Visual Motion Imagery Classification with Deep Neural Network based on Functional Connectivity
Byoung-Hee Kwon, Ji-Hoon Jeong, Seong-Whan Lee
Brain-computer interfaces (BCIs) use brain signals such as electroencephalography to reflect user intention and enable two-way communication between computers and users. BCI techno…
Towards Neurohaptics: Brain-Computer Interfaces for Decoding Intuitive Sense of Touch
Jeong-Hyun Cho, Ji-Hoon Jeong, Myoung-Ki Kim +1
Noninvasive brain-computer interface (BCI) is widely used to recognize users' intentions. Especially, BCI related to tactile and sensation decoding could provide various effects on…
Design of an EEG-based Drone Swarm Control System using Endogenous BCI Paradigms
Dae-Hyeok Lee, Hyung-Ju Ahn, Ji-Hoon Jeong +1
Non-invasive brain-computer interface (BCI) has been developed for understanding users' intentions by using electroencephalogram (EEG) signals. With the recent development of artif…
Decoding of Grasp Motions from EEG Signals Based on a Novel Data Augmentation Strategy
Jeong-Hyun Cho, Ji-Hoon Jeong, Seong-Whan Lee
Electroencephalogram (EEG) based brain-computer interface (BCI) systems are useful tools for clinical purposes like neural prostheses. In this study, we collected EEG signals relat…
Prediction of Event Related Potential Speller Performance Using Resting-State EEG
Gi-Hwan Shin, Minji Lee, Hyeong-Jin Kim +1
Event-related potential (ERP) speller can be utilized in device control and communication for locked-in or severely injured patients. However, problems such as inter-subject perfor…
A novel approach to classify natural grasp actions by estimating muscle activity patterns from EEG signals
Jeong-Hyun Cho, Ji-Hoon Jeong, Dong-Joo Kim +1
Developing electroencephalogram (EEG) based brain-computer interface (BCI) systems is challenging. In this study, we analyzed natural grasp actions from EEG. Ten healthy subjects p…