Papers
6
Total Citations
107
H-Index
4
About
Woolim Hong is a leading researcher in the field of robotic prosthetics and human gait analysis, with a focus on improving mobility for individuals with lower-limb amputations. Their work centers on continuous gait phase estimation, a critical component for seamless control of powered prosthetic devices and exoskeletons. Hong’s most impactful contribution, the 2021 paper "Continuous Gait Phase Estimation Using LSTM for Robotic Transfemoral Prosthesis Across Walking Speeds," has garnered 67 citations, demonstrating its significance in advancing real-time, adaptive control systems. They have also pioneered methods for speed-adaptability, such as the piecewise linear labeling approach (2022, 15 citations), and explored the role of torso kinematics in gait estimation. Beyond estimation, Hong has contributed to prosthetic design with a 3D-printable toe-joint concept (2021) and optimization-based spline generation for upslope walking (2016, 16 citations). Their recent work (2024) extends continuous estimation to powered ankle prostheses, addressing critical safety concerns. Hong’s research is instrumental in bridging machine learning and biomechatronics, offering practical solutions for natural, stable ambulation across diverse walking conditions.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 53D-Printable Toe-joint Design of Prosthetic Foot2 citations · 2021
- 6