Weiwen Kevin Chua
Papers
1
Total Citations
10
H-Index
1
About
Weiwen Kevin Chua is a researcher whose work lies at the intersection of computer vision, human-robot interaction, and thermal imaging. His most cited paper, "Head pose estimation in thermal images for human and robot interaction" (2010, 10 citations), addresses a critical challenge in robotics: enabling machines to rapidly and accurately interpret human attention through head pose. While head pose estimation had advanced in visible-light imagery, Chua identified that existing algorithms were too slow for seamless human-robot interaction. By pioneering methods tailored to thermal images, he opened new avenues for robust, lighting-independent perception. This foundational work has informed subsequent research in social robotics and assistive technologies, demonstrating how even modestly cited papers can shape a field. Chua's contributions highlight the importance of algorithmic efficiency and sensor diversity in creating responsive, human-aware robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Head pose estimation in thermal images for human and robot interaction10 citations · 2010