Byung Hyung Kim — accepted AI-conference papers

2021

Affect-driven Robot Behavior Learning System using EEG Signals for Less Negative Feelings and More Positive Outcomes

Byung Hyung Kim, Ji Ho Kwak, Minuk Kim, Sungho Jo

IROS 2021poster

Learning from human feedback using event-related electroencephalography (EEG) signals has attracted extensive attention recently owing to their intuitive communication ability by decoding user intentions. However, this approach requires users to perform specified tasks and their success or failure.…

Cited by 2 Source ↗Scholar ↗

2021

Riemannian Embedding Banks for Common Spatial Patterns with EEG-based SPD Neural Networks

Yoon-Je Suh, Byung Hyung Kim

AAAI 2021technical

Modeling non-linear data as symmetric positive definite (SPD) matrices on Riemannian manifolds has attracted much attention for various classification tasks. In the context of deep learning, SPD matrix-based Riemannian networks have been shown to be a promising solution for classifying electroenceph…

Cited by 30 Source ↗PDF ↗Scholar ↗