Yaqing Feng
Papers
3
Total Citations
29
H-Index
3
About
Yaqing Feng is a researcher at the forefront of soft wearable sensing technologies, with a primary focus on human motion capture, rehabilitation training, and soft robotics. Her work addresses a critical challenge in the field: enabling precise, dynamic measurements using soft, flexible sensors that can comfortably interface with the human body. Feng’s major contributions include the development of a soft wearable sensor system for dynamically measuring leg motion in the sagittal plane, a breakthrough that overcomes the limitations of traditional rigid sensors for applications in exoskeletons and sports analysis. She has also pioneered novel soft capacitive force sensors with low hysteresis, achieved through innovative folded and rolled structures, significantly improving the accuracy of force measurement in soft robotics. Additionally, Feng has tackled the issue of dynamic strain delay in dielectric elastomer sensors, developing methods to eliminate this delay and enhance the reliability of these sensors for real-time health monitoring. With her most-cited paper garnering 14 citations and her work collectively cited over 29 times, Feng is establishing herself as an innovator in making soft sensing practical and precise for next-generation wearable and robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3