Eunseok Jeong
Papers
1
Total Citations
3
H-Index
1
About
Eunseok Jeong is a researcher in human-robot interaction and sensor-based perception, with a focus on using vibration signals to understand human movement. His most-cited work, "Estimating Human Walking Pace and Direction Using Vibration Signals" (2014), introduces a novel approach for service robots to detect and interpret human walking patterns through ground vibrations, enabling robots to estimate distance and movement direction without relying on traditional visual or audio sensors. This contribution is particularly valuable for enhancing robot autonomy in real-world environments where line-of-sight is limited. With 3 citations, Jeong’s research addresses a critical gap in non-visual human tracking, offering a low-cost, robust alternative for robotic systems. His work has implications for assistive robotics, smart environments, and safety monitoring, demonstrating how subtle physical signals can be harnessed for intelligent interaction. Jeong’s innovative use of vibration data highlights his ability to bridge mechanical sensing and behavioral analysis, making his research a foundational step toward more responsive and context-aware service robots.
Research Focus
Key Achievements
Top Papers
- 1Estimating Human Walking Pace and Direction Using Vibration Signals3 citations · 2014