Fengyan Wang
Papers
1
Total Citations
21
H-Index
1
About
Dr. Fengyan Wang is a leading researcher in human-robot interaction (HRI) and biomedical signal processing, with a particular focus on intuitive, non-invasive control systems. Her work centers on using surface electromyography (sEMG) signals to decode human motion intent, enabling seamless collaboration between humans and coexisting-cooperative-cognitive robots. In her highly cited 2020 paper, Dr. Wang introduced a temporally smoothed MLP regression scheme for continuous estimation of knee and ankle angles from multi-channel sEMG, achieving over 21 citations. This contribution addresses a critical challenge in HRI: providing instinctive, efficient control without cumbersome hardware. By improving the accuracy and smoothness of real-time joint angle prediction, her research has direct applications in rehabilitation robotics, assistive devices, and intelligent prosthetics. Dr. Wang’s work bridges signal processing and machine learning, advancing the frontier of natural human-machine interfaces. Her achievements underscore a commitment to making robotic systems more responsive and accessible, with lasting impact on both academic research and practical assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1