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2020 – today
- 2023
[c11]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- 2022
- [j5]Joohwan Sung, Sungmin Han
, Heesu Park, Soree Hwang, Song Joo Lee, Jong Woong Park, Inchan Youn:
Classification of Stroke Severity Using Clinically Relevant Symmetric Gait Features Based on Recursive Feature Elimination With Cross-Validation. IEEE Access 10: 119437-119447 (2022) - [c10]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 - [c9]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
- [c8]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
- [j4]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) - [j3]Hyunah Kang, Song Joo Lee, Sang Hoon Kang:
Stability of a robust interaction control for single-degree-of-freedom robots with unstructured environments. Intell. Serv. Robotics 13(3): 393-401 (2020) - [j2]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) - [c7]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 - [c6]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
2010 – 2019
- 2019
- [j1]Song Joo Lee, Li-Qun Zhang:
Learning Patterns of Pivoting Neuromuscular Control Training-Toward a Learning Model for Therapy Scheduling. IEEE Trans. Biomed. Eng. 66(2): 383-390 (2019) - [c5]Kabmun Cha, Jaehyung Lee, Hyungmin Kim, Choong Hyun Kim, Song Joo Lee:
Steady-State Somatosensory Evoked Potential based Brain-Computer Interface for Sit-to-Stand Movement Intention. BCI 2019: 1-3 - 2018
- [c4]Junhyuk Choi, Song Joo Lee, Seung-Jong Kim, Jong Min Lee, Hyungmin Kim:
Detecting voluntary gait initiation/termination intention using EEG. BCI 2018: 1-3 - 2013
- [c3]Sang Hoon Kang, Song Joo Lee, Yupeng Ren, Li-Qun Zhang:
Development of an elliptical trainer with real-time knee adduction moment feedback. ICORR 2013: 1-6 - [c2]Yupeng Ren, Song Joo Lee, Hyung Soon Park, Li-Qun Zhang:
A pivoting elliptical training system for prevention and rehabilitation of musculoskeletal injuries. ICORR 2013: 1-6 - 2011
- [c1]Song Joo Lee, Yupeng Ren, Francois Geiger, Alison H. Chang, Joel M. Press, Li-Qun Zhang:
Offaxis neuromuscular training of knee injuries using an offaxis robotic elliptical trainer. EMBC 2011: 2081-2084
Coauthor Index
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