Huan Dai

Papers

1

Total Citations

5

H-Index

1

About

Huan Dai’s research centers on human motion simulation, inertial motion capture technology, and virtual body modeling, with a focus on making digital human movement more realistic and editable. In their most-cited work, “Human Motion Posture Simulation Based on Inertial Motion Capture,” Dai introduces a method that combines Bezier curves with numerical data to edit human motion postures freely. By constructing virtual body models in OpenGL within a VC++ environment and integrating motion capture data, Dai achieves lifelike simulations of virtual humans. This work, cited 5 times, demonstrates an early and practical approach to bridging motion capture hardware with software-based posture editing. Dai’s contributions are particularly valuable for applications in animation, virtual reality, and ergonomic simulation, where natural and adjustable human movement is essential. Their approach offers a streamlined pipeline for researchers and developers seeking to create responsive, data-driven virtual characters.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Human Motion Posture Simulation Based on Inertial Motion Capture
5 citations · 2012
📈 Most Prolific Year: 2012 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago