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Extended Kalman Filter-Based Estimator for phase and task estimation in C++

This project develops an Extended Kalman Filter (EKF) based estimator that learns the human gait-state (phase, phase rate, stride length, ground inclination) using the sensors onboard the Dephy ExoBoot.

This work is performed under the Neurobionics Laboratory and the Locomotor Control Systems Laboratory under Drs. Elliott Rouse, Robert Gregg, and Gray Thomas.

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