Xinming Yuan
Papers
1
Total Citations
6
H-Index
1
About
Xinming Yuan’s research lies at the intersection of human-robot interaction (HRI), gaze tracking, and adaptive calibration systems. His most-cited work, "Multi-Initialized States Referred Work Parameter Calibration for Gaze Tracking Human-Robot Interaction" (2012, 6 citations), introduces a novel gaze direction sensing model for infrared-TV-based eye tracking systems. This contribution addresses a critical challenge in HRI: enabling robots to adaptively calibrate their parameters in response to user head movements and varying environmental conditions, thereby improving the accuracy and robustness of gaze-based control. By focusing on multi-initialized states, Yuan’s approach enhances the system’s ability to maintain reliable interaction even when users shift their posture or gaze. While his citation count reflects a specialized niche, the work has practical implications for assistive robotics and hands-free interfaces. Yuan’s research underscores the importance of user-centered calibration in making HRI more intuitive and accessible, particularly for individuals with limited mobility. His efforts contribute to the broader goal of seamless, adaptive human-machine collaboration.
Research Focus
Key Achievements
Top Papers
- 1