Opensim-announcement

Download

opensim-announcement@lists.simtk.org

April 2025

1 participants
2 discussions

Model to Predict Gait Dynamics, RehabWeek Workshop, and more
by Matthew Petrucci 25 Apr '25

25 Apr '25

GaitDynamics: A Foundation Model for Predicting Human Gait Dynamics Data driven-models are a promising solution to quantify gait dynamics with less cost and time compared with traditional lab-based experiments. Typical data-driven models are limited to a specific downstream task with fixed inputs and outputs. GaitDynamics is the first generative foundation model to quantify gait dynamics for different gait patterns. It is a flexible, scalable solution that is able to predict both motions and forces for human walking and running with partial or no input data. Postdoctoral fellow Tian Tan and colleagues from the NIH-funded Restore<http://restore.stanford.edu> and Mobilize<http://mobilize.stanford.edu> Centers and the Wu Tsai Human Performance Alliance<https://humanperformancealliance.org/> developed the model and have made it open-source. Access GaitDynamics code<https://github.com/stanfordnmbl/GaitDynamics> | Read preprint<https://pmc.ncbi.nlm.nih.gov/articles/PMC11957236/> Join a Workshop on Large-Scale Biomechanics at RehabWeek 2025 May 12-16, 2025, Chicago, IL, USA The Restore<http://restore.stanford.edu> and Mobilize<http://mobilize.stanford.edu> Centers are running a workshop at RehabWeek, "OpenCap and AddBiomechanics: Tools for Large-Scale Biomechanics Studies.” Join the workshop to learn how these tools enable rapid, accessible movement analysis—from measuring 3D human motion using smartphone videos with OpenCap<http://opencap.ai> to automating motion capture data processing with AddBiomechanics<http://addbiomechanics.org>. Through demos and hands-on tutorials, our team will demonstrate how these tools accelerate both lab-based and out-of-lab studies of hundreds of participants for movement screening, injury prevention, and monitoring rehabilitation. Learn more<https://rehabweek.org/wp-content/uploads/2025/01/OpenCap-and-AddBiomechanic…> | Register for the conference<https://rehabweek.org/registration/> Apply to be a Reproducible Rehabilitation (ReproRehab) Program Fellow Submission Deadline: May 2, 2025 The Reproducible Rehabilitation (ReproRehab) program<https://www.reprorehab.usc.edu/> is an NIH-funded R25 research educational program designed to build a sustainable national workforce of rehabilitation researchers equipped with basic data science skills to improve reproducibility in research. Applications to become a ReproRehab fellow are now open. ReproRehab fellows participate in: (1) the in-person Reproducible Rehabilitation Research Summit<https://www.reprorehab.usc.edu/conference>, (2) a hands-on virtual bootcamp where rehabilitation researchers learn data science and open science skills to integrate into their own research in small pods of 8-10 learners with 2 teaching assistants, (3) self-guided learning, using resources on ReproRehabDB<https://reprorehabdb.usc.edu/>, a curated, searchable, rateable database of online courses and open-source datasets specifically for rehabilitation researchers. Apply<https://www.reprorehab.usc.edu/apply> to be either a learner (free to attend) or a teaching assistant (receive a $5,000 stipend). — OpenSim is supported by the Mobilize Center<https://mobilize.stanford.edu/>, an NIH Biomedical Technology Resource Center (grant P41 EB027060); the Restore Center<https://restore.stanford.edu/>, an NIH-funded Medical Rehabilitation Research Resource Network Center (grant P2C HD101913); and the Wu Tsai Human Performance Alliance <https://humanperformancealliance.org/> through the Joe and Clara Tsai Foundation. No longer want to receive these emails? Unsubscribe<https://lists.simtk.org/mailman/listinfo/opensim-announcement>

1 0

OpenSim+ Workshop Highlights, AddBiomechanics Updates, and more
by Matthew Petrucci 02 Apr '25

02 Apr '25

Highlights from the OpenSim+ Advanced User Workshop Our recent, three-day in-person OpenSim+ workshop at Stanford University guided 42 researchers in using not just our OpenSim<https://simtk.org/projects/opensim> software tool, but also our other software, including OpenSim Moco<https://opensim-org.github.io/opensim-moco-site/>, OpenSense<https://simtk.org/projects/opensense>, AddBiomechanics<http://addbiomechanics.org>, and OpenCap<http://opencap.ai>. Workshop participants were paired with mentors from our team to advance the goals of their research projects. Projects included predicting outcomes of orthopedic surgeries, simulating musculoskeletal dynamics of the spine, and injury prevention and rehabilitation. See project highlights<https://docs.google.com/presentation/d/1yxLACMzbgC5yRfInaqIgof-qS6Lcp7ivjW4…> AddBiomechanics: New Features, Improved Workflow, and the Large-Scale Dynamics Dataset AddBiomechanics<http://addbiomechanics.org> is a freely available cloud service, supported by the Restore Center<http://restore.stanford.edu>, Mobilize Center<http://mobilize.stanford.edu>, and the Wu Tsai Human Performance Alliance<https://humanperformancealliance.org/>, to automatically process experimental motion capture data. We have released a new version with several features, bug fixes, and workflow improvements over the past year, including integration with OpenSim Moco to create muscle-driven simulations. We have also released the AddBiomechanics Dataset 1.0<https://addbiomechanics.org/download_data.html>, which contains kinematics and dynamics information for over 24 million frames from 70+ hours of motion for 273 participants. This dataset is the largest freely available dynamics dataset for the rehabilitation research community. Process data with AddBiomechanics<http://addbiomechanics.org> | AddBiomechanics Dataset<https://addbiomechanics.org/download_data.html> Join an OpenCap and AddBiomechanics Workshop at RehabWeek 2025 May 12-16, 2025, Chicago, IL, USA The Restore<http://restore.stanford.edu> and Mobilize<http://mobilize.stanford.edu> Centers are running a workshop at RehabWeek, "OpenCap and AddBiomechanics: Tools for Large-Scale Biomechanics Studies.” Join the workshop to learn how these tools enable rapid, accessible movement analysis—from measuring 3D human motion using smartphone videos with OpenCap<http://opencap.ai> to automating motion capture data processing with AddBiomechanics<http://addbiomechanics.org>. Through demos and hands-on tutorials, our team will demonstrate how these tools accelerate both lab-based and out-of-lab studies of hundreds of participants for movement screening, injury prevention, and monitoring rehabilitation. Learn more<https://rehabweek.org/wp-content/uploads/2025/01/OpenCap-and-AddBiomechanic…> | Register for the conference<https://rehabweek.org/registration/> Co-Design Workshop at Stanford University Fosters Innovation in Assistive Technology A recent workshop, hosted by members of the Restore Center<http://restore.stanford.edu>, Mobilize Center<http://mobilize.stanford.edu>, and the Wu Tsai Human Performance Alliance<https://humanperformancealliance.org/>, brought together individuals with mobility challenges, caregivers, clinicians, researchers, and developers to bridge the gap in assistive technology design. The event provided a unique platform for dialogue and hands-on problem-solving, connecting across perspectives and disciplines and reinforcing the value of inclusive design in assistive technology development. Learn more<https://mobilize.stanford.edu/co-design-workshop-at-stanford-university-fos…> — OpenSim is supported by the Mobilize Center<https://mobilize.stanford.edu/>, an NIH Biomedical Technology Resource Center (grant P41 EB027060); the Restore Center<https://restore.stanford.edu/>, an NIH-funded Medical Rehabilitation Research Resource Network Center (grant P2C HD101913); and the Wu Tsai Human Performance Alliance <https://humanperformancealliance.org/> through the Joe and Clara Tsai Foundation. No longer want to receive these emails? Unsubscribe<https://lists.simtk.org/mailman/listinfo/opensim-announcement>

1 0