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eess.SP2024
Towards a Network Expansion Approach for Reliable Brain-Computer Interface
Byeong-Hoo Lee, Kang Yin
Robotic arms are increasingly being used in collaborative environments, requiring an accurate understanding of human intentions to ensure both effectiveness and safety. Electroence…
eess.SP2022
Target-centered Subject Transfer Framework for EEG Data Augmentation
Kang Yin, Byeong-Hoo Lee, Byoung-Hee Kwon +1
Data augmentation approaches are widely explored for the enhancement of decoding electroencephalogram signals. In subject-independent brain-computer interface system, domain adapti…
eess.SP2020
Classification of High-Dimensional Motor Imagery Tasks based on An End-to-end role assigned convolutional neural network
Byeong-Hoo Lee, Ji-Hoon Jeong, Kyung-Hwan Shim +1
A brain-computer interface (BCI) provides a direct communication pathway between user and external devices. Electroencephalogram (EEG) motor imagery (MI) paradigm is widely used in…