Qin Chaolong
Papers
1
Total Citations
10
H-Index
1
About
Qin Chaolong 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. His most-cited work, "Scenario interaction system of rehabilitation training robot based on Unity3D and Kinect" (2017), has garnered 10 citations and exemplifies his core contribution: developing accessible, engaging platforms that combine real-time motion capture with game-like scenarios to enhance patient motivation and recovery outcomes. By leveraging Unity3D for realistic simulation and Kinect for non-invasive body tracking, Qin’s system addresses a critical gap in traditional rehabilitation—making therapy both effective and enjoyable. This work has influenced subsequent designs in low-cost, home-based rehabilitation tools, offering a scalable solution for stroke and injury patients. Qin’s research bridges engineering and clinical practice, demonstrating how interactive technology can transform repetitive exercises into meaningful, data-driven interventions. His achievements highlight a commitment to human-centered robotics, where innovation directly improves quality of life.
Research Focus
Key Achievements
Top Papers
- 1