Name

Lauren Knop

Department
Mechanical Engineering – Engineering Mechanics
Area of research
Biomechanics, System Identification, and Robotics
Abstract
My research studies the relationship between lower extremity muscle activation and the dynamic properties of the human ankle using machine learning techniques. The goal of this work is to better understand ankle modulation during walking to improve the control design of powered ankle-foot prostheses.
Synopsis of research
Currently at the Human Interactive Robotics Lab (HIRoLab), a series of gait studies are being performed with a variety of subjects. The dynamic properties of the ankle and the corresponding muscle activation levels of the lower leg are determined using a vibrating force plate, motion capture cameras, and surface electromyography (EMG) sensors. An artificial neural network was then used to define the relationship between the ankle dynamics and muscle activity. The results of these studies contribute to understanding the function of the human ankle and can be used to improve the control for ankle-foot prostheses.
Fun fact
When I am not doing research or schoolwork, I enjoy being outdoors exploring the beauty of the Keweenaw Peninsula! 🙂

 

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