Yejin Nam
Papers
2
Total Citations
8
H-Index
2
About
Yejin Nam is a researcher at the forefront of rehabilitation robotics, with a focused expertise in human-machine interfaces (HMI) and the biomechanics of patient comfort. Her work directly addresses a critical challenge in assistive technology: preventing soft tissue damage, such as pressure ulcers, caused by persistent mechanical loads from robotic bindings. Nam’s major contributions lie in quantifying comfort—a traditionally subjective metric—through objective physiological measurements. In her 2023 study, she established foundational methods for defining comfortable binding parts for standing rehabilitation robots. Expanding on this, her 2024 work pioneered a multi-modal approach, combining electrodermal activity, tissue oxygen saturation, and visual analog scales to assess the physiological impact of varying cuff pressures. This innovative framework provides engineers with data-driven benchmarks for safer, more user-centric robot design. With a growing citation count (8 total across her most-cited papers), Nam’s research is gaining traction as a vital reference for developing rehabilitation devices that prioritize patient well-being alongside mechanical performance.
Research Focus
Key Achievements
Top Papers
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- 2