most citedDAL: Feature Learning from Overt Speech to Decode Imagined Speech-based EEG Signals with Convolutional Autoencoder

3 citations · 3 across the 3 of their papers we have counts for

collaborators

3 papers

q-bio.NC2022

Decoding Neural Correlation of Language-Specific Imagined Speech using EEG Signals

Keon-Woo Lee, Dae-Hyeok Lee, Sung-Jin Kim +1

Speech impairments due to cerebral lesions and degenerative disorders can be devastating. For humans with severe speech deficits, imagined speech in the brain-computer interface ha…

eess.SP2021★ 3 cited

DAL: Feature Learning from Overt Speech to Decode Imagined Speech-based EEG Signals with Convolutional Autoencoder

Dae-Hyeok Lee, Sung-Jin Kim, Seong-Whan Lee

Brain-computer interface (BCI) is one of the tools which enables the communication between humans and devices by reflecting intention and status of humans. With the development of…

cs.CV2021

Subject-Independent Brain-Computer Interface for Decoding High-Level Visual Imagery Tasks

Dae-Hyeok Lee, Dong-Kyun Han, Sung-Jin Kim +2

Brain-computer interface (BCI) is used for communication between humans and devices by recognizing status and intention of humans. Communication between humans and a drone using el…