The-Hung Nguyen
Papers
1
Total Citations
14
H-Index
1
About
The-Hung Nguyen is a leading researcher in computer vision and human-robot interaction, with a focus on enabling machines to perceive and respond to human behavior. His work centers on integrating action recognition, skeleton feature estimation, and emotion recognition to create more intuitive and socially aware robotic systems. His most cited paper, "KFSENet: A Key Frame-Based Skeleton Feature Estimation and Action Recognition Network for Improved Robot Vision with Face and Emotion Recognition" (2022, 14 citations), introduces a novel framework that combines key frame selection with multi-modal recognition—including face and emotion detection—to enhance robot vision for personalized interactions. This contribution addresses a critical gap in social robotics by allowing machines to interpret both physical actions and emotional cues from human users. Nguyen’s research has practical implications for assistive robotics, healthcare, and human-robot collaboration, where understanding nuanced human behavior is essential. His work is recognized for its innovative fusion of skeleton-based action recognition with affective computing, laying groundwork for more empathetic and responsive autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1