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December 2019

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OpenSim Workshop at Stanford and Moco Software Release
by Jennifer Hicks 04 Dec '19

04 Dec '19

*Apply to the Next OpenSim Advanced User Workshop at Stanford University* *Applications Due: January 14, 2020Workshop Dates: March 24-26, 2020* We are now accepting applications for a three-day, project-based workshop on the Stanford University campus. This workshop is intended for advanced OpenSim users and developers who want to work with the OpenSim staff on specific research projects. We highly encourage collaborators to participate in the workshop together. Travel awards will be granted to top workshop applicants (individuals or groups). Applications are due January 14, 2020. Read more and learn how to apply <https://opensim.stanford.edu/support/event_details.php?id=238&title=OpenSim…> . *Download the Moco Software for Optimizing and Predicting the Motion of Musculoskeletal Models* We are pleased to announce the release of Moco <https://opensim.stanford.edu/moco>, a musculoskeletal simulation tool to extend the OpenSim software’s capabilities. Chris Dembia and Nick Bianco, of Stanford University, have led the development of the software, with valuable support from other members of the OpenSim community. Unlike many other such tools that can only track observed motions, Moco allows users to customize optimization cost functions and solve a variety of problems, including: - Motion tracking – Moco can estimate muscle forces that generated an observed motion while minimizing custom costs, including joint reaction loads. - Motion prediction – Moco can predict motions without relying on experimental data. - Parameter optimization – Moco can optimize parameters in a model, such as the stiffness of an exoskeleton. Learn more about Moco through the associated preprint <https://www.biorxiv.org/content/10.1101/839381v1> and webinar recording <https://www.youtube.com/watch?v=IYYZgyE33pU>. We will also be holding office hours <https://simtk.org/plugins/phpBB/viewtopicPhpbb.php?f=1815&t=11248&p=0&start…> for those using or interested in Moco. Moco is freely available for download <https://simtk.org/projects/opensim-moco> from SimTK. -- *Jennifer Hicks, Ph.D.* Director of Data Science | Mobilize Center <http://mobilize.stanford.edu> Associate Director | NCSRR <http://www.stanford.edu/group/opensim/about/index.html> R&D Manager | OpenSim <http://opensim.stanford.edu/> Stanford University 650-498-4403 | jenhicks(a)stanford.edu

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