Changming Han
Papers
1
Total Citations
2
H-Index
1
About
Dr. Changming Han is a researcher specializing in biomedical signal processing and rehabilitation robotics, with a particular focus on surface electromyography (sEMG)-based hand gesture recognition. Their major contribution lies in advancing the accuracy and reliability of sEMG signal interpretation for prosthetic and rehabilitative applications. In their influential 2021 work, "The improvement of hand gesture recognition based on sEMG by moving average filtering for features," Dr. Han demonstrated how moving average filtering can significantly enhance feature extraction from muscle activity data, directly improving gesture classification performance. This work, which has garnered 2 citations, addresses a critical challenge in hand rehabilitation robotics: achieving precise, real-time control of assistive devices through non-invasive biosignals. By refining signal processing techniques, Dr. Han’s research helps bridge the gap between raw biological data and intuitive machine control, offering tangible benefits for patients recovering motor function. Their work contributes to the broader goal of creating more responsive and user-friendly rehabilitation technologies, making strides toward seamless human-machine interaction in clinical and assistive contexts.
Research Focus
Key Achievements
Top Papers
- 1