Minji Son
Papers
1
Total Citations
3
H-Index
1
About
Minji Son is a robotics researcher whose work centers on the intersection of human-robot interaction and biomechanical sensing. Her primary research areas include gait analysis, mobile robotics, and computer vision-based human tracking. Son’s most notable contribution is the development of a novel gait measurement system integrated with a human-following mobile robot, detailed in her 2023 paper. By leveraging MediaPipe-Pose (MPP), an open-source image recognition package, she created a system that reconstructs 2D human joint pixel coordinates in real time, enabling precise gait analysis without wearable sensors. This work has garnered 3 citations and represents a significant step toward non-invasive, automated mobility assessment for rehabilitation and assistive robotics. Son’s approach combines accessibility (using open-source tools) with practical deployment on mobile platforms, making her research highly relevant for clinical and home-care settings. Her achievements highlight a growing focus on affordable, real-time biomechanical monitoring—a key challenge in modern robotics and healthcare engineering.
Research Focus
Key Achievements
Top Papers
- 1