11 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…