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<p style="margin:0in;margin-bottom:.0001pt"><b><span style="color:#202020;background:white">Webinar - Estimating Energy Expenditure During Exercise Using Wearable Sensors<o:p></o:p></span></b></p>
<p style="margin:0in;margin-bottom:.0001pt"><i>Wednesday, May 4, 2022 at 9am PDT <o:p>
</o:p></i></p>
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<p style="margin:0in;margin-bottom:.0001pt"><span style="color:#202020;background:white">We are pleased to announce our upcoming webinar with Patrick Slade from Stanford University. He will present an overview of an algorithm that can provide real-time estimates
of energy expenditure during common steady-state and time-varying activities with substantially lower error than state-of-the-art methods. In the second part of the webinar, Dr. Slade will guide participants through a hands-on tutorial on applying the algorithm
to data acquired from inertial measurement units (IMUs). </span><span style="color:#2E75B6"><a href="https://stanford.zoom.us/webinar/register/WN_iJPURPqdSAWX536SVu-DOQ"><span style="color:#2E75B6;background:white">Register now</span></a><span style="background:white">
</span></span><span style="background:white">| </span><span style="color:#2E75B6"><a href="https://www.nature.com/articles/s41467-021-24173-x"><span style="color:#2E75B6;background:white">Read publication</span></a></span><span style="color:#202020;background:white"> </span><o:p></o:p></p>
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<p style="margin:0in;margin-bottom:.0001pt"><b><span style="color:#202020">Apply to Participate in Virtual Office Hours for Biomechanical Modeling or Machine Learning Research Questions</span></b><o:p></o:p></p>
<p class="MsoNormal"><i><span style="color:#202020;background:white">Deadline: April 29, 2022, 5 PM local time<o:p></o:p></span></i></p>
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<p style="margin:0in;margin-bottom:.0001pt"><span style="color:#202020;background:white">We are pleased to announce we will be holding Virtual Office Hours on May 16-20, 2022, to support researchers working with wearable sensors, video technology, and other
modalities in rehabilitation research. We will have two tracks: 1) Biomechanical modeling with
</span><span style="color:#2E75B6"><a href="https://opensim.stanford.edu/"><span style="color:#2E75B6;background:white">OpenSim</span></a></span><span style="color:#202020;background:white"> and
</span><span style="color:#2E75B6"><a href="https://simtk-confluence.stanford.edu/display/OpenSim/OpenSense+-+Kinematics+with+IMU+Data"><span style="color:#2E75B6;background:white">IMUs</span></a></span><span style="color:#202020;background:white"> or video,
and 2) Machine learning, including video analysis. All phases of a research project are supported, such as formulating a research question, choosing and planning appropriate methods, and addressing issues with carrying out the study. We welcome and encourage
individuals to apply as a team, if relevant. </span><span style="color:#2E75B6"><a href="https://restore.stanford.edu/2022/04/06/apply-to-participate-in-virtual-office-hours-for-biomechanical-modeling-or-machine-learning-research-questions-5/"><span style="color:#2E75B6;background:white">Learn
more and apply</span></a></span><o:p></o:p></p>
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<p style="margin:0in;margin-bottom:.0001pt"><b><span style="color:#202020;background:white">Seeking Collaborations to Drive Development of OpenSense, OpenSim Moco, and Other Tools</span></b><o:p></o:p></p>
<p style="margin:0in;margin-bottom:.0001pt"><span style="color:#202020;background:white">The development of OpenSim, OpenSense (for analyzing movement with inertial measurement units or IMUs), OpenSim Moco (for solving optimization problems), and several of
our </span><a href="https://mobilize.stanford.edu/software/"><span style="color:#1155CC;background:white">other computational models and tools</span></a><span style="color:#202020;background:white"> is supported in part by the
</span><a href="https://mobilize.stanford.edu"><span style="color:#1155CC;background:white">Mobilize Center</span></a><span style="color:#202020;background:white">.
</span><span style="background:white">Collaborative projects (CPs) <span style="color:#202020">
drive the development of the Center’s efforts. They help us define the specifications for tools to address their needs, and they serve as beta testers to refine and harden the tools we develop and share. If you have a project that could benefit from the Mobilize
Center’s technology and are interested in being a CP, </span></span><span style="color:#2E75B6"><a href="https://docs.google.com/forms/d/1emhfvC1zRPHZZPFEo4KuBvgnL_DX62OTLsC0xMoENyQ/edit"><span style="color:#2E75B6;background:white">fill out this form</span></a><span style="background:white">.
</span><a href="https://mobilize.stanford.edu/collaborative-projects/"><span style="color:#2E75B6;background:white">Learn more</span></a></span><o:p></o:p></p>
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<p style="margin:0in;margin-bottom:.0001pt"><b><span style="color:#202020;background:white">MR3 Network 2nd Annual Scientific Retreat - Rehabilitation Clinical Trials: Innovations, Designs, and Tribulations</span></b><o:p></o:p></p>
<p class="MsoNormal"><i><span style="color:#202020;background:white">Deadline: June 1, 2022<o:p></o:p></span></i></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p style="margin:0in;margin-bottom:.0001pt"><span style="color:#202020;background:white">The
</span><a href="https://ncmrr.org/"><span style="color:#1155CC;background:white">Medical Rehabilitation Research Resource (MR3) Network</span></a><span style="color:#202020;background:white">, which includes our NIH-funded
</span><a href="https://restore.stanford.edu/"><span style="color:#1155CC;background:white">Restore Center</span></a><span style="color:#202020;background:white">, is pleased to announce its 2nd scientific retreat. The goal of the retreat is to learn more about
novel research design, technology development, and implementation practice/policy for rehabilitation clinical trials. Abstracts are now being accepted for 15-minute presentations at the retreat.
</span><span style="color:#2E75B6"><a href="https://ncmrr.org/education-training/2022-retreat/call-for-abstracts"><span style="color:#2E75B6;background:white">Submit an abstract</span></a></span><o:p></o:p></p>
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<p style="margin:0in;margin-bottom:.0001pt"><b><span style="color:#202020">SCONE 2.0 is Released</span></b><o:p></o:p></p>
<p style="margin:0in;margin-bottom:.0001pt"><span style="color:#202020;background:white">SCONE 2.0 has been released by Thomas Geijtenbeek from TU Delft. SCONE is open source software for performing predictive simulations of human and animal motion. It provides
an intuitive GUI to easily set up optimization scenarios and analyze results through 3D visualization and data plots. SCONE 2.0 adds support for OpenSim 4.3 models, as well as support for a new high-speed simulator that dramatically reduces optimization time.
</span><a href="https://simtk.org/plugins/simtk_news/news_details.php?flag=3&group_id=1180&id=443"><span style="color:#1155CC;background:white">Read more about SCONE 2.0</span></a><span style="color:#202020;background:white"> |
</span><a href="https://urldefense.proofpoint.com/v2/url?u=https-3A__simtk.org_projects_scone&d=DwMFAg&c=XYzUhXBD2cD-CornpT4QE19xOJBbRy-TBPLK0X9U2o8&r=aCLXEJeKYCYPMD-xf1xisgXf7LPFBKnHbHw4zCRed1Q&m=8ezsDz5arqJDHskll8ZXRwAfnJNYD4GXAK_TD5iTQTs&s=L47xSYhbwxMfXWKwhkOlXYACbRkrW611c0S5zF__MYM&e="><span style="color:#1155CC;background:white">Download
SCONE</span></a><o:p></o:p></p>
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<p class="MsoNormal"><b><span style="font-size:9.0pt;color:#A6A6A6">--<o:p></o:p></span></b></p>
<p class="MsoNormal"><b><span style="font-size:9.0pt;color:#767171">Joy P. Ku, PhD</span></b><span style="font-size:9.0pt;color:#767171"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.0pt;color:gray">Deputy Director | <a href="https://humanperformance.stanford.edu/">
<span style="color:gray">Wu Tsai Human Performance Alliance at Stanford</span></a>
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.0pt;color:gray">Director of Education & Communications |
<a href="https://mobilize.stanford.edu/"><span style="color:gray">Mobilize Center</span></a> &
<a href="https://restore.stanford.edu/"><span style="color:gray">Restore Center</span></a>
<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.0pt;color:gray">Stanford University<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.0pt;color:gray"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.0pt;color:gray">650.736.8434 | joyku@stanford.edu<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:9.0pt;color:gray">Supporting open-source biocomputational resources |
</span><span style="font-size:9.0pt;color:gray"><a href="https://opensim.stanford.edu/"><span style="color:gray">OpenSim</span></a></span><span style="font-size:9.0pt;color:gray"> &
<a href="https://simtk.org/"><span style="color:gray">SimTK</span></a><o:p></o:p></span></p>
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