3 papers
cs.HC2020
Speech Imagery Classification using Length-Wise Training based on Deep Learning
Byeong-Hoo Lee, Byeong-Hee Kwon, Do-Yeun Lee +1
Brain-computer interface uses brain signals to control external devices without actual control behavior. Recently, speech imagery has been studied for direct communication using la…
cs.HC2020
Classification of Upper Limb Movements \newline Using Convolutional Neural Network \newline with 3D Inception Block
D. -Y. Lee, J. -H. Jeong, K. -H. Shim +1
A brain-machine interface (BMI) based on electroencephalography (EEG) can overcome the movement deficits for patients and real-world applications for healthy people. Ideally, the B…
eess.SP2020
Decoding Movement Imagination and Execution from EEG Signals using BCI-Transfer Learning Method based on Relation Network
D. -Y. Lee, J. -H. Jeong, K. -H. Shim +1
A brain-computer interface (BCI) is used not only to control external devices for healthy people but also to rehabilitate motor functions for motor-disabled patients. Decoding move…