Jiamin Zhao
Papers
2
Total Citations
51
H-Index
2
About
Dr. Jiamin Zhao is advancing the frontier of intuitive human-machine interaction through pioneering work in myoelectric control and neuromuscular modeling. Her research centers on decoding neural commands from electromyography (EMG) signals to achieve precise, proportional control of robotic prostheses and exoskeletons. A key contribution is her development of surface electromyography image-driven torque estimation for multi-degree-of-freedom wrist movements, a method that significantly outperforms conventional time-frequency approaches by capturing spatial activation patterns across muscles. This work, published in 2021 and garnering 48 citations, has become a foundational reference for simultaneous and proportional control (SPC) in prosthetics. Most recently, Dr. Zhao has broken new ground by integrating motor unit discharge information extracted via EMG decomposition with a musculoskeletal model for wrist torque estimation (2024). This biologically-inspired approach moves beyond black-box machine learning, offering interpretable, physiologically-grounded control that promises greater robustness and naturalness. By bridging neural drive and biomechanics, Dr. Zhao’s research is not only generating impactful citations but also laying the essential groundwork for the next generation of seamless, intuitive human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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