4 papers
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…
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…
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…
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…