Yi‐Ru Chen
Papers
1
Total Citations
13
H-Index
1
About
Yi‐Ru Chen is a researcher whose work lies at the intersection of computer vision and human–robot interaction, with a particular focus on real-time, vision-based motion tracking. Her most cited paper, "Visual tracking of human head and arms with a single camera" (2010, 13 citations), introduces an upper body tracking algorithm designed to operate on moving camera platforms—a critical requirement for natural human–robot interaction. The method tackles the high-dimensional challenge of estimating human posture from a single monocular view, achieving real-time performance without the need for multiple cameras or restrictive setups. This contribution is notable for its practical orientation: by enabling a robot to follow a person’s head and arm movements using only one onboard camera, Chen’s work helps bridge the gap between laboratory tracking systems and real-world robotic applications. While her citation count is modest, the paper’s focus on robustness and efficiency in dynamic environments marks an important step toward more intuitive and responsive human–robot interfaces.
Research Focus
Key Achievements
Top Papers
- 1Visual tracking of human head and arms with a single camera13 citations · 2010