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Scott Uhlrich
@ScottUhlrich
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Assistant Professor | U of Utah. PhD | Stanford. I use mobile sensing, msk simulation, machine learning, and biofeedback to improve mobility.
Joined July 2020
Excited to release OpenCap: measure human movement and musculoskeletal forces using 2 smartphones. Fantastic collaboration with @AntoineFalisse and @kidzik. Preprint: Get started analyzing movement at Details in thread 👇
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Congrats to Michelle Joyce for receiving the Clinical Biomechanics Award at #ASB2024 for our work developing a non-surgical intervention for knee osteoarthritis. A great first conference presentation!
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Abstract submission: Track: AI and Computational Methods in Rehabilitation Session: Moving outside the lab: Integrating mobile sensing, AI, and biomechanics for precision rehabilitation #wearables
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RT @LauraDiamond05: Thanks @OARSInews for the opportunity to collaborate with @ScottUhlrich on this year’s Osteoarthritis Year in Review f…
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Excited to share that I’m joining U of Utah as an Assistant Professor in Mechanical Engineering in Fall'24. My lab will combine #biomechanics, #computerVision, and #wearables to create scalable tools that improve mobility. PhD positions coming soon. Can’t wait to join @UtahMech!
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Nice news story about OpenCap from Scripps News! @AntoineFalisse @WuTsaiAlliance @OpenSimSU Thanks for the great work, @lindseytheis
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RT @WuTsaiAlliance: Curious to learn more about #OpenCap, an open-source motion-capture app that democratizes the once-exclusive science of…
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RT @LabBionic: We made the TIME's 2023 Best Inventions list 😍🦿🎊! Honored, excited, proud, and grateful for all the fantastic students who…
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@sjoerdmb We are almost done setting up a data processor agreement. Feel free to email and we can share more.
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Excited to share the latest OpenCap updates at the "Enabling Large-scale Biomechanics Studies" Workshop at #ASB2023. If you're at ASB and interested in using OpenCap, we'll be holding office hours and can chat about your study. DM me for the sign-up link.
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RT @JanelleKaneda: Excited to present our work on predicting GRFs for various tasks using physics-based features + deep learning at #ISB202…
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@AnthonyAGatti @rosshm16 @BiomechMax @Jamie_langley1 @IzzyMoorePhD @IUBiomechanics @stevemagness @TStellingwerff @labratrundown @edayrun @LauraHealey15 @woutersinas @KathBatistaa @AntoineFalisse We haven’t done a powered validation yet (in process), but n=1 GRFs look quite good at 2.7m/s. The kinetics are easier than many activities b/c there’s no double support. The sim. formulation is available already for treadmill & overground running in the opencap-processing repo.
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