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Kyung-Hwan Shim

2 accepted papers

2020

Classification of High-Dimensional Motor Imagery Tasks Based on An End-To-End Role Assigned Convolutional Neural Network

ICASSP 2020accepted

A brain-computer interface (BCI) provides a direct communication pathway between user and external devices. EEG-based motor imagery paradigm is widely used in non-invasive BCI to obtain encoded signals contained user intention of movement execution. However, EEG has intricate and non-stationary prop…

Cited by 0SourceScholar
2020

Decoding Movement Imagination and Execution From Eeg Signals Using Bci-Transfer Learning Method Based on Relation Network

ICASSP 2020accepted

A brain-computer interface (BCI) is used to control external devices for healthy people as well as to rehabilitate motor functions for motor-disabled patients. Decoding movement intention is one of the most significant aspects for performing arm movement tasks using brain signals. Decoding movement…

Cited by 0SourceScholar