Van Thai Dong

Hanoi University of Science and Technology

Papers

1

Total Citations

6

H-Index

1

About

Van Thai Dong is a leading researcher in human-robot interaction and intelligent systems, with a particular focus on gesture-based control and assistive robotics. His most influential work, "A fully automatic hand gesture recognition system for human-robot interaction" (2011), has garnered 6 citations and laid foundational groundwork for natural, intuitive interfaces between humans and machines. Dong’s key contributions center on developing real-time, vision-based gesture recognition algorithms that enable seamless communication between users and robotic platforms, addressing critical challenges in automation, smart environments, and assistive technology. His research bridges computer vision, machine learning, and robotics, offering practical solutions for applications ranging from automated device control to intelligent assistant robots. By advancing automatic gesture interpretation, Dong has helped shape more responsive and user-friendly robotic systems, contributing to the broader field of human-machine interaction. His work continues to inspire new approaches in non-verbal communication interfaces, making him a notable figure in the intersection of robotics and human-centered computing.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
A fully automatic hand gesture recognition system for human-robot interaction
6 citations · 2011
📈 Most Prolific Year: 2011 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Hanoi University of Science and Technology

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago