Yunyun Wu

University of Windsor

Papers

1

Total Citations

20

H-Index

1

About

Yunyun Wu is a leading researcher in wearable technology and soft sensor systems, with a focus on human motion sensing and human augmentation. Her most-cited work, "Ready-to-wear strain sensing gloves for human motion sensing" (2021, 20 citations), addresses a critical gap in the field: the integration of soft sensors into everyday, ready-to-wear platforms. By leveraging disposable gloves as an accessible substrate, she developed a scalable method for mapping hand-specific gestures, enabling precise, real-time motion tracking without bulky equipment. This innovation bridges the gap between laboratory-grade sensing and practical, low-cost wearables, with implications for rehabilitation, virtual reality, and human–machine interfaces. Wu’s contributions are foundational to advancing sensor-based human augmentation, demonstrating how everyday materials can be transformed into intelligent systems. Her work has been recognized for its potential to democratize wearable sensing, making it more accessible for research and consumer applications alike.

Research Focus

Key Achievements

1
H-Index
1
Papers
20
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Ready-to-wear strain sensing gloves for human motion sensing
20 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Windsor

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago