Jeanhong Jeon
Papers
1
Total Citations
3
H-Index
1
About
Jeanhong Jeon is a researcher at the forefront of human-robot interaction and biomechanical sensing, with a focus on developing intelligent systems for gait analysis and assistive robotics. His most cited work introduces a novel gait measurement system integrated with a human-following mobile robot, leveraging MediaPipe-Pose for real-time 2D human skeleton reconstruction from image data. By converting pixel coordinates into actionable kinematic parameters, Jeon’s system enables non-invasive, markerless gait assessment—a critical advancement for rehabilitation, elderly care, and sports science. This approach eliminates the need for expensive motion-capture equipment, making gait analysis more accessible in clinical and home settings. With 3 citations to date, his paper has already sparked interest in low-cost, vision-based mobility monitoring. Jeon’s contributions bridge computer vision and robotics, offering a scalable solution for autonomous patient tracking and fall prevention. His work exemplifies how open-source AI tools can be repurposed for practical healthcare innovations, positioning him as an emerging voice in the intersection of robotics and human biomechanics.
Research Focus
Key Achievements
Top Papers
- 1