Terry's PhD research focuses on applying deep learning techniques to human motion analysis, particularly applied to sports and healthcare. Human motion is difficult to analyze due to its large variability. To capture the nature of the large variability, Terry adapts state-of-the-art deep learning techniques for human motion data, e.g., wearable sensor data.
His previous work during his MS includes randomized motion planning for mobile manipulators. Also, he involved in exoskeleton projects for soldiers and stroke patients at LIG Nex1 and Korea Institute of Science and Technology (KIST), respectively.
- Exercise motion recognition using a wearable band
- Parkinson's disease motor-state evaluation using a wearable band
- BS, Mechanical and Aerospace Engineering (Minor: Computer Science and Engineering), Seoul National University
- MS, Mechanical and Aerospace Engineering, Seoul National University