5 citations · 9 across the 14 of their papers we have counts for
5 papers · 1 filter
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…
Decoding Fatigue Levels of Pilots Using EEG Signals with Hybrid Deep Neural Networks
Dae-Hyeok Lee, Sung-Jin Kim, Si-Hyun Kim
The detection of pilots' mental states is critical, as abnormal mental states have the potential to cause catastrophic accidents. This study demonstrates the feasibility of using d…
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…
Decoding EEG-based Workload Levels Using Spatio-temporal Features Under Flight Environment
Dae-Hyeok Lee, Sung-Jin Kim, Si-Hyun Kim +1
The detection of pilots' mental states is important due to the potential for their abnormal mental states to result in catastrophic accidents. This study introduces the feasibility…
DAL: Feature Learning from Overt Speech to Decode Imagined Speech-based EEG Signals with Convolutional Autoencoder
Dae-Hyeok Lee, Sung-Jin Kim, Seong-Whan Lee
Brain-computer interface (BCI) is one of the tools which enables the communication between humans and devices by reflecting intention and status of humans. With the development of…