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Keenon Werling from Stanford University presents AddBiomechanics, a free online tool with the mission of enhancing the impact of biomechanical motion capture efforts by helping labs process and share their data, unlocking powerful machine learning tools and improving replicability of results. AddBiomechanics automatically generates scaled models, joint angles, and torque trajectories that best fit your optical marker trajectories and force plate measurements with similar or better accuracy compared to expert-processed results. The uploaded data and processed results are automatically shared with the community, under a license that requires users of the data to cite your work. Mr. Werling shares how the tool works and outlines the data sharing vision of the platform. This webinar is offered jointly with the Restore Center (https://restore.stanford.edu/), an NIH-funded Medical Rehabilitation Research Resource Network Center at Stanford University. Watch the tutorial: • Webinar(Tutorial): AddBiomechanics - Enabl... Learn more: Read the associated publications: https://doi.org/10.1101/2023.06.15.54... Access the website: addbiomechanics.org 0:00 Intro 2:58 What is AddBiomechanics? 5:28 Does it actually work? 10:14 How does it work? 14:32 Why does the tool make all the data public? 24:45 Q&A