Yueyang Teng

Northeastern University

Papers

1

Total Citations

4

H-Index

1

About

Dr. Yueyang Teng is a leading researcher in human motion capture and wearable sensing technologies, with a particular focus on advancing finger motion tracking. His most notable contribution is the development of the CST Framework (2024), a robust and portable system that addresses a critical challenge in motion capture: the need for lightweight, calibration-free finger tracking. Traditional finger-tracking devices are often cumbersome and require time-consuming calibration to measure individual joint angles. Dr. Teng’s framework overcomes these limitations, offering a more practical and user-friendly solution for real-time finger motion analysis. This work, already garnering 4 citations shortly after publication, has significant implications for virtual reality, rehabilitation, and human-computer interaction. By prioritizing portability and robustness, Dr. Teng’s research is helping to make sophisticated motion capture accessible for everyday applications, bridging the gap between laboratory-grade accuracy and real-world usability. His ongoing work continues to push the boundaries of how we capture and interpret human movement.

Research Focus

Key Achievements

1
H-Index
1
Papers
4
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
CST Framework: A Robust and Portable Finger Motion Tracking Framework
4 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Northeastern University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago