[Opensim-announcement] Advanced User Workshop, Stroke Grand Challenge, and More

[Matthew Petrucci]

OpenSim+ Advanced User Workshop at Stanford University

March 11-13, 2024

Application Deadline: December 15, 2023


The Wu Tsai Human Performance Alliance<https://humanperformancealliance.org/>, Restore Center<http://restore.stanford.edu>, and Mobilize Center<http://mobilize.stanford.edu> are now accepting applications for a three-day, project-based workshop on the Stanford University campus. This workshop is intended for researchers who are advanced users of our software tools, including OpenSim<https://simtk.org/projects/opensim>, OpenSim Moco<https://opensim-org.github.io/opensim-moco-site/>, OpenSense<https://simtk.org/projects/opensense>, Sit2Stand<http://sit2stand.ai>, and OpenCap<http://opencap.ai>. Advanced users include those who are applying these tools to new use cases or developing new pipelines, models, or algorithms. Researchers will work with our staff to advance the goals of their specific research projects. We highly encourage collaborators to participate in the workshop as a team.


Read more and apply<https://simtk-confluence.stanford.edu:8443/pages/viewpage.action?pageId=130187279>


New Simulation Approach Predicts Human-Tech Interaction with Assistive Devices



Exotendon assistive devices have been shown to reduce the rate of energy expenditure during running. Jon Stingel and a team of Mobilize Center<http://mobilize.stanford.edu> researchers at Stanford University wanted to better understand the muscle-level changes that contributed to these cost savings. The team created a musculoskeletal simulation framework that revealed the cost savings came from the quadriceps, hamstrings, and several muscles that control the hip. This framework could be used to study human-device interactions more generally and aid the design process.


Read more<https://humanperformancealliance.org/news/new-simulation-predicts-human-tech-interaction-in-assistive-devices/> | Read publication<https://ieeexplore.ieee.org/document/10210485>


Quantify and Analyze Human Movement using Two Smartphones with OpenCap Software



Drs. Scott Uhlrich, Antoine Falisse, and Lukasz Kidzinski, along with other Mobilize Center<http://mobilize.stanford.edu> researchers at Stanford, have developed OpenCap, a freely available, cloud-based tool that uses two smartphones to measure both human movement kinematics (i.e., joint angles) and kinetics (e.g., muscle activations, ground reaction forces, and joint loading). OpenCap enables researchers to capture human movement 25% faster at a fraction of the cost. The validation of the software is described in a publication that appeared recently in PLOS Computational Biology.


Access the software<http://opencap.ai> | Read publication<https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1011462> | Learn more<https://mobilize.stanford.edu/quantify-and-analyze-human-movement-using-two-smartphones-with-opencap-software/>


Participate in the NMSM Pipeline Stroke Grand Challenge



We encourage you to learn about and participate in the first Stroke Grand Challenge Competition<https://simtk.org/projects/strokerehab> using the MATLAB-based Neuromusculoskeletal Modeling (NMSM) Pipeline<https://urldefense.com/v3/__https:/simtk.org/projects/nmsm__;!!BuQPrrmRaQ!lPyJhFltc2han0r7lsaHaNHxcJwkJpgdZ1jbmnG-jygteqbOQZ0wvQvnlJ3hvhsIWPuTp1ks5dYFhFcvWN9rd6ZAHSWz_2q1$> built on top of OpenSim. Organized by the Rice Computational Neuromechanics Lab<https://rcnl.rice.edu/> and held at the American Society of Biomechanics annual conference, the competition will provide the biomechanics research community with one comprehensive post-stroke walking dataset each year to design a personalized stroke neurorehabilitation treatment using the NMSM Pipeline or any other software. Winners of the competition will receive a certificate, $1,000 cash prize, and fast-tracked review in the Journal of NeuroEngineering and Rehabilitation.



Learn more<https://simtk.org/frs/?group_id=2658> | Download the data<https://simtk.org/frs/?group_id=2658>


Novel Spine Model Validated for Dynamic Lifting Tasks


Mohammad Akhavanfar, Thomas Uchida, and colleagues at the University of Ottawa have developed a novel model for calculating spinal forces during dynamic lifting tasks. The Fully Articulated Thoracolumbar Spine (FATLS) model<https://simtk.org/projects/handloadinterac> includes thoracic and lumbar segments and accounts for the effect of passive moments. Previously validated for various static lifting tasks, this latest study expanded the validation to nine dynamic lifting tasks. The authors recommend using their model for estimating intervertebral spinal forces during lifting and lowering tasks.


Learn more<https://simtk.org/projects/handloadinterac> | Download model<https://simtk.org/frs/?group_id=2108> | Read publication<https://doi.org/10.1007/s10439-023-03368-x>

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