1 citations · 1 across the 14 of their papers we have counts for
14 papers
Toward Practical BCI: A Real-time Wireless Imagined Speech EEG Decoding System
Ji-Ha Park, Heon-Gyu Kwak, Gi-Hwan Shin +4
Brain-computer interface (BCI) research, while promising, has largely been confined to static and fixed environments, limiting real-world applicability. To move towards practical B…
Meta-cognitive Multi-scale Hierarchical Reasoning for Motor Imagery Decoding
Si-Hyun Kim, Heon-Gyu Kwak, Byoung-Hee Kwon +1
Brain-computer interface (BCI) aims to decode motor intent from noninvasive neural signals to enable control of external devices, but practical deployment remains limited by noise…
Towards Personalized Brain-Computer Interface Application Based on Endogenous EEG Paradigms
Heon-Gyu Kwak, Gi-Hwan Shin, Yeon-Woo Choi +4
In this paper, we propose a conceptual framework for personalized brain-computer interface (BCI) applications, which can offer an enhanced user experience by customizing services t…
Feature Selection via Dynamic Graph-based Attention Block in MI-based EEG Signals
Hyeon-Taek Han, Dae-Hyeok Lee, Heon-Gyu Kwak
Brain-computer interface (BCI) technology enables direct interaction between humans and computers by analyzing brain signals. Electroencephalogram (EEG) is one of the non-invasive…
Relationship Between Mood, Sleepiness, and EEG Functional Connectivity by 40 Hz Monaural Beats
Ha-Na Jo, Young-Seok Kweon, Gi-Hwan Shin +2
The monaural beat is known that it can modulate brain and personal states. However, which changes in brain waves are related to changes in state is still unclear. Therefore, we aim…
Neurophysiological Response Based on Auditory Sense for Brain Modulation Using Monaural Beat
Ha-Na Jo, Young-Seok Kweon, Gi-Hwan Shin +2
Brain modulation is a modification process of brain activity through external stimulations. However, which condition can induce the activation is still unclear. Therefore, we aimed…
Impact of Nap on Performance in Different Working Memory Tasks Using EEG
Gi-Hwan Shin, Young-Seok Kweon, Heon-Gyu Kwak +2
Electroencephalography (EEG) has been widely used to study the relationship between naps and working memory, yet the effects of naps on distinct working memory tasks remain unclear…
Multi-Signal Reconstruction Using Masked Autoencoder From EEG During Polysomnography
Young-Seok Kweon, Gi-Hwan Shin, Heon-Gyu Kwak +2
Polysomnography (PSG) is an indispensable diagnostic tool in sleep medicine, essential for identifying various sleep disorders. By capturing physiological signals, including EEG, E…
A Distributed Inference System for Detecting Task-wise Single Trial Event-Related Potential in Stream of Satellite Images
Sung-Jin Kim, Heon-Gyu Kwak, Hyeon-Taek Han +3
Brain-computer interface (BCI) has garnered the significant attention for their potential in various applications, with event-related potential (ERP) performing a considerable role…
Influence of Video Dynamics on EEG-based Single-Trial Video Target Surveillance System
Heon-Gyu Kwak, Sung-Jin Kim, Hyeon-Taek Han +2
Target detection models are one of the widely used deep learning-based applications for reducing human efforts on video surveillance and patrol. However, the application of convent…
Siamese Sleep Transformer For Robust Sleep Stage Scoring With Self-knowledge Distillation and Selective Batch Sampling
Heon-Gyu Kwak, Young-Seok Kweon, Gi-Hwan Shin
In this paper, we propose a Siamese sleep transformer (SST) that effectively extracts features from single-channel raw electroencephalogram signals for robust sleep stage scoring.…
Development of Personalized Sleep Induction System based on Mental States
Young-Seok Kweon, Gi-Hwan Shin, Heon-Gyu Kwak
Sleep is an essential behavior to prevent the decrement of cognitive, motor, and emotional performance and various diseases. However, it is not easy to fall asleep when people want…
Changes in Power and Information Flow in Resting-state EEG by Working Memory Process
Gi-Hwan Shin, Young-Seok Kweon, Heon-Gyu Kwak
Many studies have analyzed working memory (WM) from electroencephalogram (EEG). However, little is known about changes in the brain neurodynamics among resting-state (RS) according…
Automatic Micro-sleep Detection under Car-driving Simulation Environment using Night-sleep EEG
Young-Seok Kweon, Gi-Hwan Shin, Heon-Gyu Kwak +1
A micro-sleep is a short sleep that lasts from 1 to 30 secs. Its detection during driving is crucial to prevent accidents that could claim a lot of people's lives. Electroencephalo…