Papers

3

Total Citations

29

H-Index

2

About

Haiyang Wang is a robotics researcher whose work bridges assistive healthcare technologies and underwater autonomous systems. His primary research areas include human-robot interaction, gait analysis, and intelligent assistive devices for elderly care. Wang’s most impactful contribution is his pioneering work on real-time gait modeling using the Microsoft Kinect sensor, which demonstrated how non-wearable vision systems could effectively monitor elderly movement patterns for rehabilitation assessment—a study that has garnered 18 citations and laid groundwork for accessible fall-prevention technologies. He further advanced assistive robotics through the development of an intelligent cane walker robot that uses force control to interpret user intention, enabling more natural and comfortable walking assistance for individuals with mobility challenges. More recently, Wang has expanded into marine robotics, developing augmented reality visualization algorithms for lightweight remotely operated vehicles (ROVs) to enhance underwater exploration capabilities. His work uniquely spans from improving quality of life for aging populations through non-invasive monitoring to advancing deep-sea operations, demonstrating versatility in applying robotic control and computer vision principles across vastly different domains.

Research Focus

Key Achievements

2
H-Index
3
Papers
29
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Human gait modeling and gait analysis based on Kinect
18 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Shenyang University of Technology, Norwegian University of Science and Technology

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago