Zengyu Qing
Papers
1
Total Citations
26
H-Index
1
About
Dr. Zengyu Qing is a leading researcher in human–machine interaction, with a primary focus on surface electromyography (sEMG)-based gesture decoding for robotic control, prosthetics, and rehabilitation technologies. Their most cited work, “Elements Influencing sEMG-Based Gesture Decoding: Muscle Fatigue, Forearm Angle and Acquisition Time” (2021, 26 citations), systematically investigates how real-world factors—such as muscle fatigue, limb positioning, and signal acquisition duration—degrade the accuracy of gesture recognition systems. By identifying these critical variables, Dr. Qing’s research provides essential guidelines for designing more robust and reliable sEMG interfaces, directly advancing the practical deployment of intuitive control for orthotics, prosthetics, and rehabilitation equipment. This contribution is particularly valuable for bridging the gap between laboratory prototypes and real-world assistive technologies. Dr. Qing’s work underscores a commitment to translating neural–motor signals into seamless human–machine communication, making their research a cornerstone for students and engineers developing next-generation wearable robotics and neurorehabilitation tools.
Research Focus
Key Achievements
Top Papers
- 1