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Keun-Tae Kim
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Journal Articles
- 2024
- [j4]Young-Tak Kim, Hayom Kim, Mingyeong So, Jooheon Kong, Keun-Tae Kim, Je Hyeong Hong, Yunsik Son, Jason K. Sa, Synho Do, Jae-Ho Han, Jung Bin Kim:
Differentiating loss of consciousness causes through artificial intelligence-enabled decoding of functional connectivity. NeuroImage 297: 120749 (2024) - 2021
- [j3]Ji Hyeok Jeong
, Jun-Hyuk Choi, Keun-Tae Kim
, Song-Joo Lee, Dong-Joo Kim, Hyungmin Kim
:
Multi-Domain Convolutional Neural Networks for Lower-Limb Motor Imagery Using Dry vs. Wet Electrodes. Sensors 21(19): 6672 (2021) - 2020
- [j2]Keun-Tae Kim, Jaehyung Lee, Hyungmin Kim, Choong Hyun Kim, Song Joo Lee
:
Classification of Selective Attention Within Steady-State Somatosensory Evoked Potentials From Dry Electrodes Using Mutual Information-Based Spatio-Spectral Feature Selection. IEEE Access 8: 85464-85472 (2020) - [j1]Junhyuk Choi, Keun-Tae Kim
, Ji Hyeok Jeong
, Laehyun Kim, Song Joo Lee, Hyungmin Kim
:
Developing a Motor Imagery-Based Real-Time Asynchronous Hybrid BCI Controller for a Lower-Limb Exoskeleton. Sensors 20(24): 7309 (2020)
Conference and Workshop Papers
- 2023
- [c19]Ji Hyeok Jeong, Dong-Jin Sung, Keun-Tae Kim, Song Joo Lee, Dong-Joo Kim, Hyungmin Kim:
Subject-Transfer with Subject-Specific Fine-Tuning Based on Multi-Model CNN for Motor Imagery Brain-Computer Interface. BCI 2023: 1-3 - [c18]Ji Hyeok Jeong, Dong-Jin Sung, Keun-Tae Kim, Dong-Joo Kim, Hyungmin Kim:
Differentiating changes in movement-related EEG response induced by transcranial direct current stimulation using convolutional neural network. EMBC 2023: 1-4 - 2022
- [c17]Ji Hyeok Jeong, Keun-Tae Kim, Song Joo Lee, Dong-Joo Kim, Hyungmin Kim:
CNN-based Subject-Transfer Approach for Training Minimized Lower-Limb MI-BCIs. BCI 2022: 1-4 - [c16]Ji Hyeok Jeong, Keun-Tae Kim, Dong-Joo Kim, Song Joo Lee, Hyungmin Kim:
Subject-Transfer Decoding using the Convolutional Neural Network for Motor Imagery-based Brain-Computer Interface. EMBC 2022: 48-51 - 2021
- [c15]Keun-Tae Kim, Junhyuk Choi, Hyungmin Kim, Song Joo Lee:
Subject-Transfer Approach based on Convolutional Neural Network for the SSSEP-BCIs. BCI 2021: 1-3 - 2020
- [c14]Junhyuk Choi, Keun-Tae Kim, Jaehyung Lee, Song Joo Lee, Hyungmin Kim:
Robust Semi-synchronous BCI Controller for Brain-Actuated Exoskeleton System. BCI 2020: 1-3 - [c13]Keun-Tae Kim, Jaehyung Lee, Hyungmin Kim, Song Joo Lee:
Classification of Selective Attention based on Steady-State Somatosensory Evoked Potentials using High-Frequency Vibration Stimuli. BCI 2020: 1-3 - 2018
- [c12]Ji-Hoon Jeong
, Keun-Tae Kim, Yong-Deok Yun, Seong-Whan Lee:
Design of a brain-controlled robot arm system based on upper-limb movement imagery. BCI 2018: 1-3 - [c11]Ji-Hoon Jeong
, Keun-Tae Kim, Dong-Joo Kim, Seong-Whan Lee:
Decoding of Multi-directional Reaching Movements for EEG-Based Robot Arm Control. SMC 2018: 511-514 - 2017
- [c10]Keun-Tae Kim, Ki-Hee Park, Seong-Whan Lee:
An Adaptive Convolutional Neural Network Framework for Multi-user Myoelectric Interfaces. ACPR 2017: 788-792 - 2016
- [c9]Min-Ho Lee
, Siamac Fazli
, Keun-Tae Kim, Seong-Whan Lee:
Development of an open source platform for brain-machine interface: openBMI. BCI 2016: 1-2 - [c8]Hee-Jin Park, Keun-Tae Kim, Seong-Whan Lee:
Steady-state visual evoked potential based brain-computer interface with viewing distance changes. BCI 2016: 1-2 - [c7]No-Sang Kwak, Dong-Ok Won, Keun-Tae Kim, Hee-Jin Park, Seong-Whan Lee:
Analysis of steady state visual evoked potentials based on viewing distance changes for brain-machine interface speller. SMC 2016: 1502-1505 - [c6]Min-Ho Lee
, Keun-Tae Kim, Yeong-Jin Kee, Ji-Hoon Jeong
, Seon-Min Kim, Siamac Fazli
, Seong-Whan Lee:
OpenBMI: A real-time data analysis toolbox for Brain-Machine Interfaces. SMC 2016: 1884-1887 - [c5]Keun-Tae Kim, Seong-Whan Lee:
Towards an EEG-based intelligent wheelchair driving system with vibro-tactile stimuli. SMC 2016: 2382-2385 - 2015
- [c4]Hee-Jin Park, Keun-Tae Kim, Seong-Whan Lee:
Towards a smart TV control system based on steady-state visual evoked potential. BCI 2015: 1-2 - [c3]Keun-Tae Kim, Seong-Whan Lee:
Wheelchair Control Based on Steady-State Somatosensory Evoked Potentials. SMC 2015: 1504-1507 - 2014
- [c2]Keun-Tae Kim, Seong-Whan Lee:
Steady-state somatosensory evoked potentials for brain-controlled wheelchair. BCI 2014: 1-2 - 2013
- [c1]Keun-Tae Kim, Tom Carlson
, Seong-Whan Lee:
Design of a robotic wheelchair with a motor imagery based brain-computer interface. BCI 2013: 46-48
Coauthor Index
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