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Provide an easy-to-use approach for clinical gait laboratories who currently use the Plug in Gait pipeline to (1) automatically import and scale scale a personalized musculoskeletal model and (2) to run inverse kinematic simulations


We present a semi-automatic scaling approach to generate personalized musculoskeletal models of children with gait impairment using a marker registration method informed by the static pose of the conventional gait model. The final scaled model adopts the same rotational degrees of freedom of the conventional gait model, thus allowing consistency in kinematic output between the two models.

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