Learn about OpenCap, AddBiomechanics, and AI Models at GCMAS and ISB Conferences
The Restore<http://restore.stanford.edu/>, FAIR<http://faircenter.stanford.edu/>, and Mobilize<http://mobilize.stanford.edu/> Center team is leading two upcoming conference workshops focused on OpenCap<http://opencap.ai/> (software for measuring human movement using smartphone videos), AddBiomechanics<http://addbiomechanics.org/> (cloud-based software for computing inverse kinematics and dynamics from marker-based motion capture data), and AI tools. Join us to learn how to utilize these tools for your research.
OpenCap and AddBiomechanics: Tools for Large-Scale and Accessible Biomechanics
Highlighted Tools: OpenCap, AddBiomechanics
June 9-13, 2026
Gait and Clinical Movement Analysis Society (GCMAS) Annual Conference<https://na.eventscloud.com/website/87479/home/>
Phoenix, Arizona
Accelerating the Use of Artificial Intelligence to Analyze Human Motion: Hands-on Tutorial and Discussion
Highlighted Tools: OpenCap, AddBiomechanics, AI tools
July 11-16, 2026
World Congress of Biomechanics<https://wcb2026.com/>
Vancouver, British Columbia, Canada
Postdoc Openings in Digital Human Modeling at Stanford University
A team of researchers at Stanford University, including Scott Delp, Garry Gold, Karen Liu, Akshay Chaudhari, Ellen Kuhl, Jennifer Hicks, and Kayvon Fatahalian, is accepting applications for Postdoctoral Fellows in digital human modeling. Fellows will help develop new methods to simulate, generate, and understand human movement. Candidates should have a PhD in engineering, computer science, biomechanics, or related fields.
Learn more and apply<https://humanperformance.stanford.edu/opportunities/postdoc-digital-human/>
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OpenSim, OpenCap, AddBiomechanics, and related AI tools are 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); the FAIR Center<http://faircenter.stanford.edu/>, an NIH-funded Medical Rehabilitation Research Resource Network Center (grant P50 HD118632); and the Wu Tsai Human Performance Alliance <https://humanperformancealliance.org/> through the Joe and Clara Tsai Foundation.
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