Human Locomotion
Data and code associated with the submitted paper "A Kinematic Model to Predict a Continuous Range of Human-like Walking Speed Transitions" by Greggory F. Murray and Anne E. Martin.
This submission contains the experimental kinematic data for the speed transitions and the code needed to analyze and model the transitions.
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This dataset contains joint kinematics, kinetics, and EMG activity from an experimental protocol approved by the Institutional Review Board at the University of Texas at Dallas. This data was collected to evaluate the robustness of different parameterization variables during perturbations for application in robotic prosthetic legs. Ten able-bodied subjects self-selected a comfortable speed for walking on level (0 degree), +5 degree, and -5 degree inclines. Subjects walked at the self-selected speed for a minute without perturbations to produce a control dataset of unperturbed kinematics.
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