- Opensim-announcement - SimTK Mailing Lists

Call for Pilot Project Proposals, Virtual Office Hours and More
by Matthew Petrucci 20 Jul '23

20 Jul '23

Apply for a Pilot Project Grant of Up to $30,000 Application Deadline: October 4, 2023 The Restore Center<http://restore.stanford.edu/> seeks proposals for their pilot project program. The program awards seed grants to innovative and meritorious projects that will accelerate the use of sensor and video technology in rehabilitation research and will advance real-world monitoring and delivery of medical rehabilitation for individuals with impaired movement. Projects of particular interest are those that use or extend tools that are supported and disseminated by the Restore Center, such as OpenCap<http://opencap.ai/>, OpenSense<https://simtk-confluence.stanford.edu:8443/display/OpenSim/OpenSense+-+Kine…>, and Sit2Stand<http://sit2stand.ai/>. Applicants can request up to $30,000 in funding. Individuals from underrepresented racial and ethnic groups, as well as individuals with disabilities, are encouraged to apply. Learn more and apply<https://restore.stanford.edu/pilot-funding/pilot-project-application/> Apply to Participate in Virtual Office Hours for Biomechanical Modeling or Machine Learning Research Questions Application Deadline: August 25, 2023, 5 PM local time Office Hour Dates: September 11-15, 2023 The Mobilize<http://mobilize.stanford.edu/> and Restore<http://restore.stanford.edu/> centers are pleased to announce they will be holding Virtual Office Hours September 11-15, 2023 to support researchers working with wearable sensors, video technology, and other modalities in rehabilitation research. There will be three tracks: 1) OpenCap<http://opencap.ai/> or other video-based analysis of movement, 2) OpenSim<https://opensim.stanford.edu/> or other questions about biomechanical modeling, including via IMUs, and 3) machine learning with time series or other movement/rehab data. 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. They welcome and encourage individuals to apply as a team, if relevant. Learn more and apply<https://mobilize.stanford.edu/apply-to-participate-in-virtual-office-hours-…> Learn from Centers’ Software Team at Upcoming Conferences Receive guidance from the Restore<http://restore.stanford.edu/> and Mobilize<http://mobilize.stanford.edu/> Centers' software team in upcoming conference office hours and 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 Sit2Stand<http://sit2stand.ai/> (software for analyzing the sit-to-stand test using a single smartphone video). * New Tools for Rapidly Developing Musculoskeletal Simulations * July 26, 2023 Technical Group on Computer Simulation (TGCS) International Symposium on Computer Simulation in Biomechanics<https://isbweb.org/~tgcs/iscsb-2023/kyoto.html> Kyoto, Japan Learn more<https://isbweb.org/~tgcs/iscsb-2023/workshopDescription2.html> * Conference Office Hours * July 31-August 3, 2023 International Society of Biomechanics (ISB) conference <https://www.isb-jsb2023.com/>Fukuoka, Japan Register now<https://forms.gle/eyhNC6NHyaBVQn657> * Enabling Large-Scale Biomechanics Studies and Data Sharing Using OpenCap And AddBiomechanics * August 8, 2023 American Society of Biomechanics (ASB) annual conference<https://asbweb.org/asb-2023/> Knoxville, Tennessee Learn more<https://asbweb.org/workshops/#:~:text=%C2%B9Stanford%20University-,WORKSHOP…> Access Resources from Webinar on Computing Sit-To-Stand Biomechanics Using a Mobile Phone Thank you to everyone who joined us for our joint Mobilize/Restore Center webinar featuring Melissa Boswell from Stanford University. She presented an overview of sit2stand.ai<http://sit2stand.ai/>, a freely available web application to capture and automatically analyze self-collected at-home videos of the five-repetition sit-to-stand test. Dr. Boswell reviewed the findings of a nationwide at-home biomechanics study using Sit2Stand and also guided participants through a tutorial for implementing their processing and analysis pipelines. Watch research presentation<https://youtu.be/HGb9YCyNuBw> | Watch tutorial<https://youtu.be/Gej8VybGbHA> | Read publication<https://doi.org/10.1038/s41746-023-00775-1> | Access processing and analysis codes<https://github.com/stanfordnmbl/sit2stand-analysis> Dataset Available: Muscle Mechanics and Energetics of Hopping Luke Jessup and Glen Lichtwark from the University of Queensland have made available a dataset of 8 participants performing 19 hopping trials at different height constraints and frequencies. The dataset includes the OpenSim model used as well as motion capture (marker and force), fascicle length, electromyography, and indirect calorimetry data from their recent preprint (Jessup et al., 2023<https://doi.org/10.21203/rs.3.rs-2662826/v1>). The Restore Center encourages and supports researchers in making their study data accessible. Download the data<https://simtk.org/plugins/datashare/?group_id=2285> | Learn More<https://simtk.org/projects/mech2020>

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Sit2Stand Webinar, Real-World Muscle Measurements Research Summit, and More
by Matthew Petrucci 26 May '23

26 May '23

Webinar on Computing Sit-To-Stand Biomechanics Using a Mobile Phone Wednesday, June 21, 2023, 9:00 AM Pacific Time We are pleased to announce our upcoming webinar with Melissa Boswell from Stanford University entitled “Sit2Stand: Assessing Health and Mobility from Smartphone Videos.” She will present an overview of sit2stand.ai<http://sit2stand.ai/>, a freely available web application to capture and automatically analyze self-collected at-home videos of the five-repetition sit-to-stand test. Dr. Boswell will review the findings of a nationwide at-home biomechanics study using sit2stand and also guide participants through a tutorial for implementing their processing and analysis pipelines. Learn more and register<https://mobilize.stanford.edu/webinar-sit2stand-assessing-health-and-mobili…> | Read the paper<https://doi.org/10.1038/s41746-023-00775-1> | Read the press release<https://healthcommunity.nature.com/posts/predicting-health-outcomes-from-sm…> Register for Research Summit: Models & Sensors to Measure Real-World Muscle Function & Movement Sunday, June 18, 2023, Canmore, AB, Canada The Restore<http://restore.stanford.edu/> and Mobilize<http://mobilize.stanford.edu/> Centers at Stanford University and C-STAR <https://www.sralab.org/cstar> at Shirley Ryan Ability Lab invite you to a research summit, “Models & Sensors to Measure Real-World Muscle Function & Movement.” Hear about late-breaking research, along with available tools, frameworks, and best practices for applying machine learning and wearable sensing to study real world movement. This meeting will take place just prior to the Rocky Mountain Muscle Symposium<https://rmms-conference.org/>. Learn more and register<https://rmms-conference.org/pre-conference-summit> | See the agenda<https://rmms-conference.org/s/RMMS-Pre-Conference-Summit-Agenda-2023.pdf> Attend Upcoming Conference Workshops for Restore and Mobilize Center Tools Members of the Restore<http://restore.stanford.edu/> and Mobilize<http://mobilize.stanford.edu/> Centers will be leading two 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 Sit2Stand<http://sit2stand.ai/> (software for analyzing the sit-to-stand test using a single smartphone video). * New Tools for Rapidly Developing Musculoskeletal Simulations * July 26, 2023 Technical Group on Computer Simulation (TGCS) International Symposium on Computer Simulation in Biomechanics<https://isbweb.org/~tgcs/iscsb-2023/kyoto.html> Kyoto, Japan (immediately prior to the International Society of Biomechanics conference<https://www.isb-jsb2023.com/>) Learn more<https://isbweb.org/~tgcs/iscsb-2023/workshopDescription2.html> * Enabling Large-Scale Biomechanics Studies and Data Sharing Using OpenCap And AddBiomechanics * August 8, 2023 American Society of Biomechanics (ASB) annual conference<https://asbweb.org/asb-2023/> Knoxville, Tennessee Learn more<https://asbweb.org/workshops/#:~:text=%C2%B9Stanford%20University-,WORKSHOP…> We encourage you to attend if you are interested in utilizing these tools for your research. Perspectives Article on Becoming a Musculoskeletal Simulation Expert Scott Uhlrich and colleagues from Stanford University and the University of Ottawa recently wrote a perspective article entitled “Ten steps to becoming a musculoskeletal simulation expert: A half-century of progress and outlook for the future” for the 50th anniversary of the International Society on Biomechanics. In the paper, they provide ten steps for becoming a musculoskeletal simulation expert by reviewing what has been done in the past and providing a roadmap for what is possible in the future. Read the scientific article<https://t.co/LY5zGMvX2Q>

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Virtual Office Hours, Research Summit, Job Opportunities, and Resources for Smartphone-Based Clinical Gait Analysis
by Matthew Petrucci 29 Mar '23

29 Mar '23

Apply to Participate in Virtual Office Hours for Biomechanical Modeling or Machine Learning Research Questions Application Deadline: April 21, 2023, 5 PM local time Office Hour Dates: May 8-12, 2023 The Mobilize<http://mobilize.stanford.edu/> and Restore<http://restore.stanford.edu/> centers are pleased to announce they will be holding Virtual Office Hours May 8-12, 2023 to support researchers working with wearable sensors, video technology, and other modalities in rehabilitation research. There will be three tracks: 1) OpenCap<http://opencap.ai/> or other video-based analysis of movement 2) OpenSim<https://opensim.stanford.edu/> or other questions about biomechanical modeling, including via IMUs and 3) machine learning with time series or other movement/rehab data. 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. They welcome and encourage individuals to apply as a team, if relevant. Application deadline: April 21, 2023, 5 PM local time. Learn more and apply<https://restore.stanford.edu/2023/03/22/apply-to-participate-in-virtual-off…> Research Summit: Models & Sensors to Measure Real-World Muscle Function & Movement Sunday, June 18, 2023, Canmore, AB, Canada ABSTRACT DEADLINE: April 3, 2023 The Restore<http://restore.stanford.edu/> and Mobilize<http://mobilize.stanford.edu/> Centers at Stanford University and C-STAR <https://www.sralab.org/cstar> at Shirley Ryan Ability Lab invite you to a research summit, “Models & Sensors to Measure Real-World Muscle Function & Movement.” Hear about late-breaking research, along with available tools, frameworks, and best practices for applying machine learning and wearable sensing to study real world movement. Submit an abstract to present your research. We encourage you to also submit an abstract and attend the Rocky Mountain Muscle Symposium<https://rmms-conference.org/> immediately after. Learn more about the summit<https://rmms-conference.org/pre-conference-summit> | Register<https://www.sralab.org/academy/person-learning/61823-models-sensors-measure…> | Submit an abstract<https://competitions.fsm.northwestern.edu/grants/rmmssummit><https://rmms-conference.org/pre-conference-summit> Access Resources from Webinar on Clinical Gait Analysis using Video-Based Pose Estimation Thank you to everyone who joined the Mobilize<http://mobilize.stanford.edu/> and Restore<http://restore.stanford.edu/> Centers webinar featuring Ryan Roemmich and Jan Stenum from John Hopkins University. They presented the software they have developed to perform gait analysis in multiple clinical populations using smartphone videos. They discussed the validation of their software; demonstrated the ability to capture clinically relevant, condition-specific parameters; and guided the audience through the analysis to obtain these measures. Recordings and resources from the webinar are now available. View research presentation<https://youtu.be/sfruckxITq0> | View tutorial<https://youtu.be/9ZXNCVu-U_M> View the preprint<https://www.medrxiv.org/content/10.1101/2023.01.26.23285007v1><https://www.medrxiv.org/content/10.1101/2023.01.26.23285007v1> | Access tutorial analysis codes to obtain gait metrics<https://github.com/janstenum/GaitAnalysis-PoseEstimation/tree/Multiple-Pers…> Open Positions in Human Performance - Stanford University The Human Performance Lab directed by Scott Delp is seeking to fill two positions: (1) a postdoctoral researcher and (2) a staff research engineer. The researchers in these positions will help develop novel tools for measuring human movement and conduct world-class research in projects related to human performance. Candidates for both positions should have backgrounds in computer science, mechanical engineering, neuroscience, and/or biomedical engineering. Learn more about each of the openings: Postdoctoral Fellowship<https://humanperformance.stanford.edu/news/opening-for-postdoctoral-fellows…> | Research engineer<https://careersearch.stanford.edu/jobs/human-performance-lab-research-engin…> <https://profiles.stanford.edu/matthew-petrucci>

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Smartphone-Based Clinical Gait Analysis Webinar, Research Summit on Real-World Muscle Measurements, and More...
by Matthew Petrucci 27 Feb '23

27 Feb '23

Webinar on Clinical Gait Analysis using Smartphone Videos Wednesday, March 8, 2023, 9:00 AM Pacific Time We are pleased to announce our upcoming webinar with Ryan Roemmich and Jan Stenum from the Kennedy Krieger Institute and John Hopkins University entitled “Clinical Gait Analysis using Video-Based Pose Estimation: Multiple Perspectives, Clinical Populations, and Measuring Change”. They will present the software they have developed to perform gait analysis in multiple clinical populations using smartphone videos and discuss validation results. The software is available for others to use in their own research, and during the webinar, Dr. Stenum will guide the audience through the analysis workflow to obtain these measures using their software. Learn more and register<https://mobilize.stanford.edu/webinar-clinical-gait-analysis-using-video-ba…> | Pre-print<https://www.medrxiv.org/content/10.1101/2023.01.26.23285007v1> Research Summit: Models & Sensors to Measure Real-World Muscle Function & Movement Sunday, June 18, 2023, Canmore, AB, Canada ABSTRACT DEADLINE: April 3, 2023 The Restore<http://restore.stanford.edu/> and Mobilize<http://mobilize.stanford.edu/> Centers at Stanford University and C-STAR <https://www.sralab.org/cstar> at Shirley Ryan Ability Lab invite you to a research summit, “Models & Sensors to Measure Real-World Muscle Function & Movement.” Hear about late-breaking research, along with available tools, frameworks, and best practices for applying machine learning and wearable sensing to study real world movement. Submit an abstract to present your research. We encourage you to also submit an abstract and attend the Rocky Mountain Muscle Symposium<https://rmms-conference.org/> immediately after. Learn more and register<https://rmms-conference.org/pre-conference-summit> | Call for abstracts<https://rmms-conference.org/pre-conference-summit> Course on Machine Learning and Sensors in Rehabilitation Wednesday, May 17, 2023, Virtual Over recent years, there has been an explosion of interest in wearable sensors, video, and computer vision for healthcare and patient monitoring. In this introductory course co-taught by C-STAR<https://www.sralab.org/cstar> and the Restore Center<http://restore.stanford.edu/>, we will take a practical approach to understand how machine learning and sensors can be applied in the rehabilitation field, pitfalls to avoid, how to get started and how these tools can create reliable digital biomarkers. The course is eligible for CME credit. Register now<https://t.e2ma.net/click/4spysf/oovb6v/k514go>

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Virtual Office Hours, NSF-DARE Conference
by Matthew Petrucci 11 Jan '23

11 Jan '23

Apply to Participate in Virtual Office Hours for Biomechanical Modeling or Machine Learning Research Questions Application Deadline: January 13, 2023, 5 PM local time Office Hour Dates: January 30-February 3, 2023 We are pleased to announce we will be holding Virtual Office Hours January 30-February 3, 2023 to support researchers working with wearable sensors, video technology, and other modalities in rehabilitation research. We will have three tracks: 1) OpenCap<http://opencap.ai/> or other video-based analysis of movement 2) OpenSim<https://opensim.stanford.edu/> or other questions about biomechanical modeling, including via IMUs and 3) Machine learning with time series or other movement/rehab data. 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. Learn more and apply<https://restore.stanford.edu/2022/11/30/apply-to-participate-in-virtual-off…> Participate in NSF-DARE Conference on Modeling in Neurorehabilitation Abstract Deadline: January 15, 2023, 11:59 PM PST Conference Dates: March 3-4, 2023 The University of Southern California (USC) and the University of Washington are hosting a conference entitled "Transformative Opportunities for Modeling in Neurorehabilitation" at USC on March 3-4, 2023. This conference is supported by the NSF-DARE<https://beta.nsf.gov/funding/opportunities/disability-rehabilitation-engine…> and will bring together experts and trainees from around the world to discuss critical questions, challenges, and opportunities at the intersection of computational modeling and neurorehabilitation. They will focus on four areas of impact: 1) modeling adaptation and plasticity, 2) modeling for personalization, 3) modeling human-device interactions, and 4) modeling in the wild. Learn more and register<https://dare2023.usc.edu/> | Submit abstract<https://sites.usc.edu/dare2023/abstract-submission/>

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Virtual Office Hours, Upcoming Research Summit, and more
by Matthew Petrucci 09 Dec '22

09 Dec '22

Apply to Participate in Virtual Office Hours for Biomechanical Modeling or Machine Learning Research Questions Application Deadline: January 13, 2023, 5 PM local time Office Hour Dates: January 30-February 3, 2023 We are pleased to announce we will be holding Virtual Office Hours January 30-February 3, 2023 to support researchers working with wearable sensors, video technology, and other modalities in rehabilitation research. We will have three tracks: 1) OpenCap<http://opencap.ai/> or other video-based analysis of movement 2) OpenSim<https://opensim.stanford.edu/> or other questions about biomechanical modeling, including via IMUs and 3) Machine learning with time series or other movement/rehab data. 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. Learn more and apply<https://restore.stanford.edu/2022/11/30/apply-to-participate-in-virtual-off…> Save the Date: Rocky Mountain Muscle Symposium Pre-Conference Summit The Restore<http://restore.stanford.edu/> and Mobilize<http://mobilize.stanford.edu/> Centers at Stanford University and C-STAR <https://www.sralab.org/cstar> at Shirley Ryan Ability Lab are pleased to announce a research summit, “Models & Sensors to Measure Real-World Muscle Function & Movement.” The goal of the meeting is to showcase late-breaking research along with available tools, frameworks, and best practices for applying machine learning and wearable sensing to study real world movement. The scientific session will include invited speakers and short oral presentations selected from submitted abstracts. This full-day meeting will take place on Sunday, June 18, 2023 at the Nordic Centre in Canmore, AB just prior to the Rocky Mountain Muscle Symposium<https://rmms-conference.org/>. Registration will open in January 2023 and abstracts will be due in April 2023. Learn more about the summit<https://rmms-conference.org/pre-conference-summit> Modeling and Simulation Development Roadmap Based on valuable discussions with our worldwide community of developers of tools and feedback from our wide community of users such as OpenSim, Moco, OpenCap, AddBiomechanics, OpenSim Creator, and other projects, we have released a Modeling and Simulation Roadmap<https://simtk-confluence.stanford.edu:8443/display/OpenSim/Modeling+and+Sim…> to share our broad vision for development over the coming years. The roadmap details our current modeling and simulation resources, our plans for future work, and ways that you can stay up-to-date with our work and provide feedback. PhD and Post-doctoral Positions in Neuromusculoskeletal Modeling - Rice University (Houston, TX, USA) The Rice Computational Neuromechanics Lab directed by B.J. Fregly is seeking to hire a PhD student and a post-doctoral researcher with backgrounds in computer science, mechanical engineering, and/or biomedical engineering. Both candidates will contribute to the development of OpenSim and Matlab software to optimize personalized surgical and neurorehabilitation interventions and assist with an annual “Stroke Grand Challenge Competition” to be held at the American Society of Biomechanics annual conference. Learn more about the positions and apply<https://biomch-l.isbweb.org/forum/biomch-l-forums/jobs-and-positions/46708-…> <https://profiles.stanford.edu/matthew-petrucci>

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October 2022 - Webinar on 3D Motion Analysis from Smartphone Videos
by Matthew Petrucci 10 Oct '22

10 Oct '22

Webinar on OpenCap for 3D Motion Analysis from Smartphone Videos Tuesday, October 25th, 2022, 9:00 AM Pacific Time We are pleased to announce our upcoming webinar with Drs. Scott Uhlrich and Antoine Falisse from Stanford University. They will present an overview of OpenCap<http://opencap.ai/>, a freely available 3D motion analysis software using videos from two smartphones. Drs. Uhlrich and Falisse will also guide participants through a tutorial on proper set-up and calibration, tools for visualizing data collected through OpenCap, and interactive examples for performing additional analyses, such as kinematics and kinetics. This event will be hosted jointly by the Mobilize Center<http://mobilize.stanford.edu/> and Restore Center<http://restore.stanford.edu/>. Learn more and register<https://mobilize.stanford.edu/webinar-opencap-analyzing-3d-human-movement-d…> | OpenCap website<http://opencap.ai/> | Pre-print<https://www.biorxiv.org/content/10.1101/2022.07.07.499061v1>

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Job Opportunities in Biomechanics at Stanford University and Rice University
by Jen Hicks 30 Sep '22

30 Sep '22

We are pleased to share two job openings related to OpenSim, biomechanics, and developing and disseminating software and other resources: *Scientific Project Manager at Stanford for Digital Athlete Research and Alliance Partnerships * The Wu Tsai Human Performance Alliance at Stanford <http://humanperformance.stanford.edu> is seeking to recruit a highly motivated Scientific Project Manager to conduct research on human performance using machine learning and biomechanical modeling approaches. The candidate will also serve as Project Manager for the Alliance partnerships program. An additional, vital role will be building and supporting a community that is using and contributing to our open-source software and data sharing efforts. This position requires a PhD in Bioengineering, Biomedical Engineering, Computer Science, Statistics, or a related field, as well as excellent oral and written communication skills and analytical capabilities. Learn more and apply <https://careersearch.stanford.edu/jobs/scientific-project-manager-for-digit…> *NIH-Funded Postdoctoral Position at the Rice Computational Neuromechanics Lab* The Rice Computational Neuromechanics Lab directed by B.J. Fregly is seeking to hire a creative and highly-motivated post-doctoral research associate. The ideal candidate will hold a PhD degree in Mechanical Engineering with a research focus on neuromusculoskeletal modeling, simulation, and optimization. The candidate will (1) contribute to the development, evaluation, and testing of easy-to-use computational software for performing model personalization and treatment optimization utilizing neuromusculoskeletal computer models created in OpenSim and Matlab, (2) use the software to develop personalized neuromusculoskeletal computer models of individuals post-stroke and design optimal personalized neurorehabilitation interventions, and (3) assist with the organization of an annual “Stroke Grand Challenge Competition” to be held at the American Society of Biomechanics annual conference. Interested individuals are encouraged to e-mail a resume and a brief statement explaining their interest to B.J. Fregly at fregly(a)rice.edu. Learn more about the Lab <http://rcnl.rice.edu> and Position <https://simtk.org/opportunities.php#job1> -- *Jennifer Hicks, PhD* Deputy Director Wu Tsai Human Performance Alliance at Stanford <http://humanperformance.stanford.edu/> OpenSim Project <http://opensim.stanford.edu/> | Mobilize Center <http://mobilize.stanford.edu/> | Restore Center <http://restore.stanford.edu/> Stanford University | Contact & Bio <https://profiles.stanford.edu/jennifer-hicks>

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August 2022: Pilot Project Funding, Energetics Webinar, and Biomechanics Lectures
by Matthew Petrucci 09 Aug '22

09 Aug '22

Apply for a Pilot Project Grant of up to $30,000 The Restore Center<http://restore.stanford.edu/> seeks proposals for our pilot project program. The program awards seed grants to innovative and meritorious projects that will accelerate the use of sensor and video technology in rehabilitation research and will advance real-world monitoring and delivery of medical rehabilitation for individuals with impaired movement. Applicants can request up to $30,000 in funding. Individuals from underrepresented racial and ethnic groups, as well as individuals with disabilities, are encouraged to apply. Applications are due October 5th, 2022. Learn more and apply<https://restore.stanford.edu/pilot-funding/pilot-project-application/> Upcoming Webinar on Free-Living Running Data and Energy Expenditure Wednesday, August 31st, 2022, 9:00 AM Pacific Time We are pleased to announce the upcoming webinar by Dr. Jess Selinger from Queens University hosted by the Mobilize<http://mobilize.stanford.edu/>/Restore<http://restore.stanford.edu/> Centers. She will present her approach to characterize runners’ speeds in a free-living environment using a commercial wearable device and determine if preferred speed is consistent with task- or energy-dependent objectives. In the second part of the webinar, Dr. Selinger will review several key best practices for analyzing large-scale health data from wearables, and how she applied them in her analysis. Learn More<https://mobilize.stanford.edu/webinar-energetics-and-big-data-approach-expl…> | Register now<https://stanford.zoom.us/webinar/register/WN_i-s9UQJ3TtS3sOx2yfy8Ng> | Paper<https://www.cell.com/current-biology/fulltext/S0960-9822(22)00563-2> Free Online Lecture Series available about the Biomechanics of Movement Drs. Scott Delp from Stanford University and Thomas Uchida from the University of Ottawa have released a set of 78 demos and lectures on the Biomechanics of Movement<https://biomech.stanford.edu/> on YouTube<https://youtu.be/VbUNOFgYcKI>. These videos include biomechanics lectures, demos of data collection systems, musculoskeletal simulation methods, homework problems, OpenSim exercises, and more. The videos are freely available to the community. Access the videos<https://www.youtube.com/channel/UCDNGy0KKNLQ-ztcL5h2Z6zA>.

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July 2022: OpenSim 4.4, Virtual Office Hours, Resources on Estimating Energy Expenditure from Wearables, and More
by Matthew Petrucci 29 Jul '22

29 Jul '22

OpenSim 4.4 is Released! We are pleased to announce the release of OpenSim 4.4. The new software includes improvements to the look and feel of the visualizer, easier ways to access OpenSim's MATLAB, Python, and C++ interfaces (Conda and Docker), additional Moco<https://simtk.org/projects/opensim-moco> functionality, and performance improvements for models with muscle wrapping. Learn more<https://simtk-confluence.stanford.edu:8443/pages/viewpage.action?pageId=834…> Apply to Participate in Virtual Office Hours for Biomechanical Modeling or Machine Learning Research Questions Application Deadline: August 5, 2022, 5 PM local time Office Hour Dates: September 12-16, 2022 We are pleased to announce we will be holding Virtual Office Hours on September 12-16, 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 OpenSim<https://opensim.stanford.edu/> and IMUs<https://simtk-confluence.stanford.edu/display/OpenSim/OpenSense+-+Kinematic…> 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. Learn more and apply<https://restore.stanford.edu/2022/06/28/apply-to-participate-in-virtual-off…> Estimating Energy Expenditure During Exercise Using Wearable Sensors - Access Resources from Webinar Thank you to everyone who joined us for our Restore<http://restore.stanford.edu/>/Mobilize<http://mobilize.stanford.edu/> Center webinar featuring Patrick Slade from Stanford University. He presented an overview and tutorial of his 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. The recordings of the research presentation<https://youtu.be/v1eBDL4l7Nk> and tutorial<https://youtu.be/nyKwnSWQMpw> are now available on our YouTube channel. To learn more, read the publication<https://www.nature.com/articles/s41467-021-24173-x> or try the algorithm<https://github.com/stanfordnmbl/mobilize-tutorials/blob/main/Tutorial_Estim…> with your own data in the interactive Google Colab notebook used during the tutorial. Register for the MR3 Network 2nd Annual Scientific Retreat “Rehabilitation Clinical Trials: Innovations, Designs, and Tribulations” September 29-30, 2022 The Medical Rehabilitation Research Resource (MR3)<https://ncmrr.org/> Network<https://ncmrr.org/> is pleased to announce its 2nd scientific retreat. The goal of the virtual retreat is to learn more about novel research design, technology development, and implementation practice/policy for rehabilitation clinical trials. Register and learn more<https://ncmrr.org/education-training/2022-retreat>

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