Jiang Guohua

Papers

1

Total Citations

10

H-Index

1

About

Jiang Guohua is a researcher at the forefront of rehabilitation robotics and human–computer interaction, with a particular focus on integrating immersive virtual environments with motion-sensing technologies to enhance physical therapy. His most cited work, "Scenario interaction system of rehabilitation training robot based on Unity3D and Kinect" (2017, 10 citations), demonstrates a pioneering approach to making rehabilitation more engaging and effective. By combining the Unity3D game engine with Microsoft Kinect’s depth-sensing capabilities, Jiang developed interactive scenarios that allow patients to perform guided exercises in a virtual space, providing real-time feedback and motivation. This system represents a significant step toward accessible, low-cost rehabilitation tools that can be deployed in clinics or homes. While his citation count reflects a growing niche, the practical impact of his work is evident in its potential to improve patient outcomes and reduce therapist burden. Jiang’s research bridges engineering, game design, and clinical practice, offering a compelling model for future innovations in assistive technology.

Research Focus

Key Achievements

1
H-Index
1
Papers
10
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Scenario interaction system of rehabilitation training robot based on Unity3D and Kinect
10 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 4

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago