Huang Meilan
Papers
2
Total Citations
76
H-Index
2
About
Dr. Huang Meilan is a leading researcher in biomechatronics and intelligent rehabilitation engineering, with a core focus on the predictive modeling of human joint dynamics. Her work bridges computational neuroscience and robotic control, particularly through the application of artificial neural networks (ANNs) to solve complex biomechanical problems. Dr. Huang’s most influential contribution is her pioneering approach to predicting human lower extremity joint moments using only online-measurable input variables, a breakthrough that eliminates the need for specialized, cumbersome equipment. Her landmark 2019 paper, “Intelligent Prediction of Human Lower Extremity Joint Moment,” has garnered 58 citations and is foundational for advancing quantitative rehabilitation assessment and exoskeleton control. In her subsequent 2020 work, she further refined this methodology by integrating the Hill muscle model to systematically determine optimal ANN input variables, addressing a critical challenge in the field. With a growing citation impact, Dr. Huang’s research is instrumental in making human-robot interaction more seamless and accessible, directly enabling smarter, adaptive prosthetics and rehabilitation devices. Her work stands as a vital resource for students and engineers seeking to develop non-invasive, real-time solutions for human motion analysis and assistive robotics.
Research Focus
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Top Papers
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