3 papers
cs.LG2026
Prototype-Guided Non-Exemplar Continual Learning for Cross-subject EEG Decoding
Dan Li, Hye-Bin Shin, Yeon-Woo Choi
Due to the significant variability in electroencephalo-gram (EEG) signals across individuals, knowledge acquired from previous subjects is often overwritten as new subjects are int…
eess.SP2025
Toward Adaptive BCIs: Enhancing Decoding Stability via User State-Aware EEG Filtering
Yeon-Woo Choi, Hye-Bin Shin, Dan Li
Brain-computer interfaces (BCIs) often suffer from limited robustness and poor long-term adaptability. Model performance rapidly degrades when user attention fluctuates, brain stat…
cs.HC2024
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…