activity
20202025
most citedDomain Generalization for Session-Independent Brain-Computer Interface

6 citations · 7 across the 9 of their papers we have counts for

collaborators

9 papers

cs.LG2025

Calibration-Free EEG-based Driver Drowsiness Detection with Online Test-Time Adaptation

Geun-Deok Jang, Dong-Kyun Han, Seo-Hyeon Park +1

Drowsy driving is a growing cause of traffic accidents, prompting recent exploration of electroencephalography (EEG)-based drowsiness detection systems. However, the inherent varia…

eess.SP2023

Improving Generalization of Drowsiness State Classification by Domain-Specific Normalization

Dong-Young Kim, Dong-Kyun Han, Seo-Hyeon Park +2

Abnormal driver states, particularly have been major concerns for road safety, emphasizing the importance of accurate drowsiness detection to prevent accidents. Electroencephalogra…

cs.LG2023

Sample Dominance Aware Framework via Non-Parametric Estimation for Spontaneous Brain-Computer Interface

Byeong-Hoo Lee, Byoung-Hee Kwon, Seong-Whan Lee

Deep learning has shown promise in decoding brain signals, such as electroencephalogram (EEG), in the field of brain-computer interfaces (BCIs). However, the non-stationary charact…

cs.AI2023

Subject-Independent Brain-Computer Interfaces with Open-Set Subject Recognition

Dong-Kyun Han, Dong-Young Kim, Geun-Deok Jang

A brain-computer interface (BCI) can't be effectively used since electroencephalography (EEG) varies between and within subjects. BCI systems require calibration steps to adjust th…

eess.SP2022

Calibration-Free Driver Drowsiness Classification based on Manifold-Level Augmentation

Dong-Young Kim, Dong-Kyun Han, Hye-Bin Shin

Drowsiness reduces concentration and increases response time, which causes fatal road accidents. Monitoring drivers' drowsiness levels by electroencephalogram (EEG) and taking acti…

eess.SP2022★ 1 cited

Prototype-based Domain Generalization Framework for Subject-Independent Brain-Computer Interfaces

Serkan Musellim, Dong-Kyun Han, Ji-Hoon Jeong +1

Brain-computer interface (BCI) is challenging to use in practice due to the inter/intra-subject variability of electroencephalography (EEG). The BCI system, in general, necessitate…

physics.bio-ph2021

A dynamic intermediate state limits the folding rate of a discontinuous two-domain protein

Ganesh Agam, Anders Barth, Don C. Lamb

Protein folding is an indispensable process for the majority of proteins after their synthesis from ribosomes in the cell. Most in vitro protein folding studies have focused on sin…

cs.CV2021

Subject-Independent Brain-Computer Interface for Decoding High-Level Visual Imagery Tasks

Dae-Hyeok Lee, Dong-Kyun Han, Sung-Jin Kim +2

Brain-computer interface (BCI) is used for communication between humans and devices by recognizing status and intention of humans. Communication between humans and a drone using el…

cs.HC2020★ 6 cited

Domain Generalization for Session-Independent Brain-Computer Interface

Dong-Kyun Han, Ji-Hoon Jeong

The inter/intra-subject variability of electroencephalography (EEG) makes the practical use of the brain-computer interface (BCI) difficult. In general, the BCI system requires a c…