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Motion Capture Instrumentation and Processing
2: Mechanical Engineering
Tony Shu: firstname.lastname@example.org
For those with lower limb amputation, powered prostheses restore the ability to produce appropriate ground reaction forces for bipedal locomotion. Though there are many ways to control a powered prosthesis, the ideal interface combines intuitive control with natural proprioceptive feedback to seamlessly integrate user and device. This project aims to develop a unified instrumentation and data processing pipeline which extracts limb and joint trajectories from raw Vicon motion capture data and wearable goniometers. The resulting trajectories will be used to compare prosthesis control strategies between individual subjects and subject populations.
A background in application development, digital signals processing, and kinematics is desired. Familiarity with biomechanics and mechanical design is helpful but not required.