1 citations · 1 across the 4 of their papers we have counts for
4 papers
Dataset Refinement for Improving the Generalization Ability of the EEG Decoding Model
Sung-Jin Kim, Dae-Hyeok Lee, Hyeon-Taek Han
Electroencephalography (EEG) is a generally used neuroimaging approach in brain-computer interfaces due to its non-invasive characteristics and convenience, making it an effective…
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…
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…