In Hyuk Baek
Papers
1
Total Citations
2
H-Index
1
About
In Hyuk Baek is a researcher in rehabilitation robotics, with a focus on assistive technologies for human gait. His key research areas include locomotion mode detection, machine learning for wearable robots, and hip gait assist systems. Baek’s major contribution is the development of an automated algorithm for detecting locomotion modes—such as level walking, stair ascent, and stair descent—using a Radial Basis Function Support Vector Machine (RBF-SVM) for hip gait assist robots. This work addresses a critical limitation in universal hip gait assist devices, which often struggle with accurate mode recognition, thereby enhancing the robot’s adaptability and user safety. His most-cited paper, published in 2020, has garnered 2 citations, reflecting its foundational role in advancing intelligent control for assistive robotics. Baek’s research bridges machine learning and biomechanics, offering practical solutions for improving mobility in individuals with gait impairments. His achievements underscore a commitment to developing smarter, more responsive rehabilitation technologies.
Research Focus
Key Achievements
Top Papers
- 1