[Opensim-announcement] OpenSim Workshop at Stanford and Moco Software Release

Jennifer Hicks jenhicks at stanford.edu
Wed Dec 4 08:42:13 PST 2019

*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

*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
   - 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
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
R&D Manager | OpenSim <http://opensim.stanford.edu/>
Stanford University
650-498-4403 | jenhicks at stanford.edu
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