Chang Soo Han
Papers
1
Total Citations
2
H-Index
1
About
Chang Soo Han is a researcher whose work sits at the intersection of robotics, biomechanics, and human-assistive technology. His research has focused particularly on the development of lower extremity exoskeleton systems, with an emphasis on creating intelligent sensing and control mechanisms that enable these devices to respond dynamically to human movement. His 2015 paper, "Development of Insole Sensor System and Gait Phase Detection Algorithm for Lower Extremity Exoskeleton," stands as a notable contribution to the field, presenting a specialized insole sensor system capable of determining the kinematic model of a multi-degree-of-freedom lower limb exoskeleton robot as it adapts across different phases of human gait. This work addresses one of the central challenges in wearable robotics: enabling machines to accurately interpret and synchronize with the complex, continuous mechanics of human walking. By bridging sensor technology with algorithmic gait analysis, Han's research contributes meaningful building blocks toward more responsive and practical assistive robotic systems for individuals with mobility impairments. Though early in citation accumulation, his work represents a technically rigorous step forward in the design of next-generation rehabilitation and mobility-enhancing exoskeletons.
Research Focus
Key Achievements
Top Papers
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