Education:
Ph.D., Mechanical Engineering, Texas A&M University, College Station, TX, 2016
M.S., Mechanical Engineering, Sejong University, Seoul, South Korea, 2006
B.S., Mechanical Engineering, Sejong University, Seoul, South Korea, 2004
Research Interests:
Bio-signal Processing, Robotics, Machine Learning, Human Computer Interaction (Gesture Recognition) Dissertation Title: Sequence Recognition-based Myoelectric Control for Classifying Dynamic Motions (temporal sequence recognition, reinforcement learning, optimal control, signal processing, machine learning)
Publications:
Sungtae Shin, Reza Tafreshi, and Reza Langari. “Robustness of using dynamic motions and template matching to the limb position effect in myoelectric classification.” Journal of Dynamic Systems, Measurement and Control, 2016. (Accepted)
Sungtae Shin, Reza Tafreshi, and Reza Langari. “Robustness of dynamic motions to the limb position effect in myoelectric pattern recognition.” 2016 American Control Conference, 2016. (Accepted)
Sungtae Shin, Reza Tafreshi, and Reza Langari. “A Performance Comparison of Hand Motion EMG Comparison.” Biomedical Engineering (MECBME), 2014 2nd Middle East Conference on. IEEE, 2014.
Hyosang Moon, Nina P. Robson, Reza Langari, and Sungtae Shin. “An Experimental Study on Redundancy Resolution Scheme of Postural Configuration in Human Arm Reaching with an Elbow Joint Kinematic Constraint.” Biomedical Engineering (MECBME), 2014 2nd Middle East Conference on. IEEE, 2014.
Sungtae Shin, Reza Langari, and Reza Tafreshi. “A Performance Comparison of EMG Classification Methods for Hand and Finger Motion.” ASME 2014 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2014