Post-doc Fellow

Minjae Kim

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Post-doc Fellow in Center for Bionic Medicine, Shirley Ryan Ability Lab (2023)
Visiting Post-doc Scholar in Center for Bionic Medicine, Shirley Ryan Ability Lab (2020)
Post-doc Fellow in Center for Intelligent & Interactive Robotics, KIST (2019)
Ph.D. in Mechanical Engineering, Pohang University of Science and Technology (2018)
B.S. in Mechanical Engineering, Chung-Ang University (2012)

E-mail: minjaekim(at)postech.ac.kr

Research area

– Surface electromyography, rehabilitation, prosthetics, biosignal processing, myoelectric interface, haptic interface, brain machine interface, wearable device

Publications

International Journal Articles

1. Minjae Kim and L.J. Hargrove, “A Method for Controlling Prosthetic Legs Using Deep Neural Network Models Trained On Synthetic Gait Trajectory,” Journal of NeuroEngineering and Rehabilitation, accepted.
2. S. Yang, Minjae Kim, S.K. Hong, S. Kim, W.K. Chung, G. Lim, and H. Jeon, “Design of 3D Controller Using Nanocracking Structure-Based Stretchable Strain Sensor,” Sensors, vol. 23, 1–14, May 2023.
3. Minjae Kim, and L.J. Hargrove, “A Gait Phase Prediction Model Trained on Benchmark Datasets For Evaluating Controller For Prosthetic Legs,” Frontiers in Neurorobotics, vol. 16, 1–13, Jan 2023.
4. Minjae Kim, A.M. Simon, and L.J. Hargrove, “Seamless and intuitive control of a powered prosthetic leg using deep neural network for transfemoral amputees,” Wearable Technologies, vol. 3, e24:1–16, Sep 2022.
5. Minjae Kim, and L.J. Hargrove, “Deep-Learning to Map a Benchmark Dataset of Non-amputee Ambulation for Controlling an Open Source Bionic Leg,” IEEE Robotics and Automation Letters, Vol. 7, issue 4, 10597–10604, Jul 2022.
6. Minjae Kim, Y. Moon, J. Hunt, KA. McKenzie, A. Horin, M. McGuire, K. Kim, L.J. Hargrove, and A. Jayaraman, “A Novel Technique to Reject Artifact Components for Surface EMG Signals Recorded During Walking With Transcutaneous Spinal Cord Stimulation: A Pilot Study,” Frontiers in Human Neuroscience, Vol. 15, Jun 2021.
7. Minjae Kim, W.K. Chung, and K. Kim, “Subject-Independent sEMG Pattern Recognition by Using a Muscle Source Activation Model,” IEEE Robotics and Automation Letters, Vol. 5, issue 4, 5175–5180, Jul 2020.
8. Minjae Kim, K. Kim, and W. K. Chung, “Simple and Fast Compensation of sEMG Interface Rotation for Robust Hand Motion Recognition,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 26, issue 12, 2397–2406, Dec 2018. Selected as the front cover of the 12th issue in 26th volume.
9. Minjae Kim, and W. K. Chung, “Spatial sEMG Pattern-Based Finger Motion Estimation in a Small Area Using a Microneedle-Based High-Density Interface,” IEEE Robotics and Automation Letters, Vol. 3, no. 1, 234–241, Jan 2018
10. Minjae Kim, G. Gu, K. J. Cha, D. S. Kim, and W. K. Chung, “Wireless semg system with a microneedle-based high-density electrode array on a flexible substrate,” Sensors, Vol. 18, no. 1, 92, Dec 2017.
11. Minjae Kim, T. Kim, D. S. Kim, and W. K. Chung, “Curved microneedle array-based sEMG electrode for robust long-term measurements and high selectivity,” Sensors, Vol. 15, no. 7, 16265– 16280, Jul 2015.