Huiyin Deng
Papers
1
Total Citations
6
H-Index
1
About
Dr. Huiyin Deng is a researcher at the forefront of rehabilitation robotics and human-machine interaction, with a specialized focus on the biomechanical integration of surface electromyography (sEMG) signals. Her most-cited work, "Continuous Angle Prediction of Lower Limb Knee Joint Based on sEMG" (2021, 6 citations), addresses a critical challenge in medical rehabilitation: enabling robots to anticipate and mirror human joint motion with greater fluidity. By developing predictive models for continuous knee joint angles from sEMG data, Deng’s research directly enhances the performance of lower-limb assistive devices, moving beyond simple action classification toward real-time, adaptive control. This contribution is pivotal for improving the safety and naturalness of human-robot interaction in therapeutic settings. Her work sits at the intersection of signal processing, machine learning, and clinical rehabilitation, offering a pathway toward smarter, more responsive prosthetics and exoskeletons. With a growing citation footprint, Dr. Deng is establishing herself as a key voice in the evolution of intelligent rehabilitation systems.
Research Focus
Key Achievements
Top Papers
- 1Continuous Angle Prediction of Lower Limb Knee Joint Based on sEMG6 citations · 2021