Working on the design and development of a self-contained motion tracking system optimized for human gait. This project involves creating a special filter to use the information from a low-cost nine degrees of freedom (9DoF) inertial measurement unit (IMU) sensor in combination with mathematical models to accurately track the motion of a human leg throughout the gait cycle. This project aims to create a novel system that provides motion tracking information to lengthen and shorten a full leg prosthesis as it moves throughout the gait cycle.
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Work related to my master's thesis project at Clemson University.
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