- Opensim-announcement - SimTK Mailing Lists

Virtual Office Hours, Seeking Collaborations, Scone 2.0, Datasets, and More
by Matthew Petrucci 29 Jun '22

29 Jun '22

Apply to Participate in Virtual Office Hours for Biomechanical Modeling or Machine Learning Research Questions Deadline: August 5, 2022, 5 PM local time 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…> Resolved: Website Connectivity Issues Due to Power Outage at Stanford During the week of June 20, Stanford University experienced a campus-wide power outage that affected the servers that host our software and documentation. Power has been restored, and we anticipate that the websites should now be accessible, as usual. We apologize for any inconvenience; please let us know if any issues remain. Seeking Collaborations to Drive Development of OpenSense, OpenSim Moco, and Other Tools OpenSim<https://opensim.stanford.edu/>, OpenSense<https://simtk-confluence.stanford.edu/display/OpenSim/OpenSense+-+Kinematic…> (for analyzing movement with inertial measurement units or IMUs), OpenSim Moco<https://opensim-org.github.io/opensim-moco-site/> (for solving optimization problems), and several of our other computational models and tools<https://mobilize.stanford.edu/software/> are supported in part by the Mobilize Center<https://mobilize.stanford.edu/>. Collaborative projects (CPs)<https://mobilize.stanford.edu/collaborative-projects/> drive the development of the Mobilize Center’s efforts. CP investigators help us define the specifications for tools, 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, fill out this form<https://docs.google.com/forms/d/1emhfvC1zRPHZZPFEo4KuBvgnL_DX62OTLsC0xMoENy…>. Learn more<https://mobilize.stanford.edu/collaborative-projects/> SCONE 2.0 is Released 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. Read more about SCONE 2.0<https://simtk.org/plugins/simtk_news/news_details.php?flag=3&group_id=1180&…> | Download SCONE<https://urldefense.proofpoint.com/v2/url?u=https-3A__simtk.org_projects_sco…> Need Data for your Research? The Mobilize Center<http://mobilize.stanford.edu/> maintains a list<https://mobilize.stanford.edu/data/available-datasets/> of movement-related datasets that you can utilize for your research. These datasets include inertial measurement unit (IMU) data, X-rays, MRIs, biospecimens, and more from both clinical and healthy populations. We encourage you to share your datasets as well and please let us know if any resources should be added to this list. Help Shape New Reproducible Rehabilitation (ReproRehab) Program Deadline: June 30, 2022 ReproRehab<https://www.reprorehab.usc.edu/> is an NCMRR-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. They invite you to participate in their needs assessment<https://docs.google.com/forms/d/e/1FAIpQLSc-jpHvAwoekg_BHTA77PJ9Y--RK8IIXbX…> survey by June 30, 2022 to help shape the future of ReproRehab. Responses will help tailor their initial course and web offerings, and should take less than 20 minutes. Three participants will be randomly selected to receive a $50 Amazon gift card. <https://profiles.stanford.edu/matthew-petrucci>

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Webinar on Energy Expenditure from Wearables, Virtual Office Hours, and more
by Joy P. Ku 25 Apr '22

25 Apr '22

Webinar - Estimating Energy Expenditure During Exercise Using Wearable Sensors Wednesday, May 4, 2022 at 9am PDT 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). Register now<https://stanford.zoom.us/webinar/register/WN_iJPURPqdSAWX536SVu-DOQ> | Read publication<https://www.nature.com/articles/s41467-021-24173-x> Apply to Participate in Virtual Office Hours for Biomechanical Modeling or Machine Learning Research Questions Deadline: April 29, 2022, 5 PM local time 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 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/2022/04/06/apply-to-participate-in-virtual-off…> Seeking Collaborations to Drive Development of OpenSense, OpenSim Moco, and Other Tools The development of OpenSim, OpenSense (for analyzing movement with inertial measurement units or IMUs), OpenSim Moco (for solving optimization problems), and several of our other computational models and tools<https://mobilize.stanford.edu/software/> is supported in part by the Mobilize Center<https://mobilize.stanford.edu>. Collaborative projects (CPs) 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, fill out this form<https://docs.google.com/forms/d/1emhfvC1zRPHZZPFEo4KuBvgnL_DX62OTLsC0xMoENy…>. Learn more<https://mobilize.stanford.edu/collaborative-projects/> MR3 Network 2nd Annual Scientific Retreat - Rehabilitation Clinical Trials: Innovations, Designs, and Tribulations Deadline: June 1, 2022 The Medical Rehabilitation Research Resource (MR3) Network<https://ncmrr.org/>, which includes our NIH-funded Restore Center<https://restore.stanford.edu/>, 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. Submit an abstract<https://ncmrr.org/education-training/2022-retreat/call-for-abstracts> SCONE 2.0 is Released 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. Read more about SCONE 2.0<https://simtk.org/plugins/simtk_news/news_details.php?flag=3&group_id=1180&…> | Download SCONE<https://urldefense.proofpoint.com/v2/url?u=https-3A__simtk.org_projects_sco…> -- Joy P. Ku, PhD Deputy Director | Wu Tsai Human Performance Alliance at Stanford<https://humanperformance.stanford.edu/> Director of Education & Communications | Mobilize Center<https://mobilize.stanford.edu/> & Restore Center<https://restore.stanford.edu/> Stanford University 650.736.8434 | joyku(a)stanford.edu Supporting open-source biocomputational resources | OpenSim<https://opensim.stanford.edu/> & SimTK<https://simtk.org/>

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Virtual Office Hours
by Joy P. Ku 08 Apr '22

08 Apr '22

Apply to Participate in Virtual Office Hours for Biomechanical Modeling or Machine Learning Research Questions Application deadline: April 29, 2022, 5 PM local time 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 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/2022/04/06/apply-to-participate-in-virtual-off…> -- Joy P. Ku, PhD Deputy Director | Wu Tsai Human Performance Alliance at Stanford<https://humanperformance.stanford.edu/> Director of Education & Communications | Mobilize Center<https://mobilize.stanford.edu/> & Restore Center<https://restore.stanford.edu/> Stanford University 650.736.8434 | joyku(a)stanford.edu Supporting open-source biocomputational resources | OpenSim<https://opensim.stanford.edu/> & SimTK<https://simtk.org/>

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Virtual Office Hours, OpenSense Webinar Resources, New Foot Model
by Joy P. Ku 14 Jan '22

14 Jan '22

Apply to Participate in Virtual Office Hours for Biomechanical Modeling or Machine Learning Research Questions Application deadline: February 4, 2022, 5 PM local time We are pleased to announce we will be holding Virtual Office Hours on February 18-24, 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/2022/01/11/apply-to-participate-in-virtual-off…> Access Resources from Webinar - OpenSense: Analyzing Motion with Inertial Measurement Unit (IMU) Data Thank you to everyone who joined us for the Mobilize and Restore Center webinar series featuring Carmichael Ong from Stanford University who presented "OpenSense: Analyzing Motion with Inertial Measurement Unit (IMU) Data". The recordings of the research presentation<https://youtu.be/ewuvpB2QUf8> and the tutorial<https://youtu.be/qlyU-pgA1ec> are now available on our YouTube channel. Read publication on O<https://pubs.rsna.org/doi/full/10.1148/ryai.2020190065>penSense<https://www.biorxiv.org/content/10.1101/2021.07.01.450788v1> | Read publication on an open-source and wearable system for measuring 3D human motion in real-time<https://pubmed.ncbi.nlm.nih.gov/34383640/> | Download OpenSense<https://simtk-confluence.stanford.edu:8443/display/OpenSim/OpenSense+-+Kine…> | See the full list of resources<https://mobilize.stanford.edu/webinar-opensense-analyzing-motion-with-inert…> Multi-segment Foot Model Validated Using Biplanar Videoradiography Past OpenSim Visiting Scholar Jayishni Maharaj and colleagues have developed a multi-segment foot model with seven degrees-of-freedom that results in more accurate kinematics than a conventional six-degree-of-freedom model. Comparisons were made against biplanar videoradiography measurements for walking and running. By utilizing joint constraints, the model also enables the quantification of motion in the subtalar joint. A description of the model and its validation were published in Computer Methods in Biomechanics and Biomedical Engineering. Read article<https://www.tandfonline.com/doi/abs/10.1080/10255842.2021.1968844> | Download model<https://simtk.org/projects/footankle_model> -- Joy P. Ku, PhD Deputy Director | Wu Tsai Human Performance Alliance at Stanford<https://humanperformance.stanford.edu/> Director of Education & Communications | Mobilize Center<https://mobilize.stanford.edu/> & Restore Center<https://restore.stanford.edu/> Stanford University 650.736.8434 | joyku(a)stanford.edu Supporting open-source biocomputational resources | OpenSim<https://opensim.stanford.edu/> & SimTK<https://simtk.org/>

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Join team at Stanford University to help develop and disseminate tools for the biomechanics
by Scott L Delp 08 Nov '21

08 Nov '21

Dear Friends - I am the PI of two national centers funded by the National Institutes of Health: the Mobilize Center<https://mobilize.stanford.edu/> and the Restore Center<https://restore.stanford.edu/>. We are seeking to recruit a highly motivated Scientific Program Manager to oversee the scientific outreach programs for these two centers and accelerate the impact of mobile technologies and computational methods on physical rehabilitation and biomechanics research. This position requires a PhD in engineering, biology, computer science, or a related field, as well as excellent oral and written communication skills and analytical capabilities. Please feel free to apply or forward this announcement to any one who might be interested. Apply now: Research Engineer in School of Engineering, Stanford, California, United States<https://careersearch.stanford.edu/jobs/research-engineer-14873?et=18GbDCjiX> Best wishes - Scott Scott L. Delp James H. Clark Professor Schools of Engineering and Medicine Stanford University https://med.stanford.edu/profiles/scott-delp

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OpenSense webinar, OpenSim session at WCB, new teaching materials and data shared, and more
by Joy P. Ku 03 Nov '21

03 Nov '21

Webinar: OpenSense: Analyzing Motion with Inertial Measurement Unit (IMU) Data Tuesday, November 16, 2021, at 10:00 AM Pacific Time OpenSense<https://simtk-confluence.stanford.edu:8443/display/OpenSim/OpenSense+-+Kine…> is a new workflow within OpenSim<https://opensim.stanford.edu/> that provides new tools to use IMU data to analyze motion. In this webinar, Carmichael Ong from Stanford University will present an overview of OpenSense and the results of a validation study examining traditional marker-based inverse kinematics versus IMU-based inverse kinematics. In the second part of the webinar, Dr. Ong will teach participants how to use OpenSense with an example using gait data. Register now<https://mobilize.stanford.edu/webinar-opensense-analyzing-motion-with-inert…> Call for Abstracts for OpenSim Teaching Symposia at World Congress of Biomechanics Deadline to Submit: November 15, 2021 Joy Ku from Stanford University and Thomas Uchida from the University of Ottawa will be moderating a session on "Teaching with the OpenSim Neuromuscular Biomechanics Software" at the World Congress of Biomechanics 2022. We invite you to submit abstracts describing how you use OpenSim in your teaching at any level (e.g., high school students, undergraduates, clinicians). When submitting your abstract, select either this session or "Use of Open Access Resources" under the "Biomedical Engineering Education and Outreach" track. Learn more<https://www.wcb2022.com/> Teaching Materials to Accompany Biomechanics of Movement Textbook Homework problems and other teaching resources for the textbook Biomechanics of Movement: The Science of Sports, Robotics, and Rehabilitation can be found on the textbook companion website<https://biomech.stanford.edu/>. We have recently added slides for you to use in your lectures based on figures from the textbook. The figures and slides are free to use for teaching and other non-commercial purposes. Slides for Chapters 2 to 5 are now available; the others will be coming soon. Download these resources<https://simtk-confluence-homeworks.stanford.edu:8443/display/BMH/Lectures> Accelerometry Data from Daily Life for Community-Dwelling Adults and Adults with Stroke Catherine Lang from Washington University has shared a dataset with accelerometry data from neurologically intact, community-dwelling adults and adults with stroke. This data was collected with Actigraph accelerometers during 1 hour in the lab and 24 hours in the real world. Data from persons with stroke were acquired during baseline assessment, weekly during an intervention, and then post-intervention. Learn more and download data<https://simtk.org/projects/referentaccdata> Deep Reinforcement Learning for Modeling Human Locomotion Control in Neuromechanical Simulation Seungmoon Song from Stanford University and colleagues recently published a paper in the Journal of NeuroEngineering and Rehabilitation reviewing the current state of neuromechanical simulation and deep reinforcement learning for modeling the control of human locomotion. Their paper also presents the results of a scientific competition<https://osim-rl.kidzinski.com/> that pushed the limits of using deep reinforcement learning to produce motions, including movements such as walk-to-stand transitions, that had not previously been demonstrated before without using reference motion data. Read the publication<https://link.springer.com/epdf/10.1186/s12984-021-00919-y?sharing_token=A1X…> -- Joy P. Ku, PhD Deputy Director | Wu Tsai Human Performance Alliance at Stanford<https://humanperformance.stanford.edu/> Director of Education & Communications | Mobilize Center<https://mobilize.stanford.edu/> & Restore Center<https://restore.stanford.edu/> Stanford University 650.736.8434 | joyku(a)stanford.edu Supporting open-source biocomputational resources | OpenSim<https://opensim.stanford.edu/> & SimTK<https://simtk.org/>

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OpenSim 4.3, Tutorials for EMG- and IMU-Tracking, OpenSense for IMU data, and more
by Joy P. Ku 30 Sep '21

30 Sep '21

OpenSim 4.3 Available for Download We are pleased to announce OpenSim 4.3<https://simtk.org/frs/?group_id=91>, the newest version of the OpenSim software. The new software brings improvements that make it easier to use inertial measurement unit (IMU) data and direct collocation methods (Moco) with OpenSim. For example, OpenSim Moco now has tools to track EMG and IMU data, along with new tutorials, as described below. We also fixed several bugs reported by users. Read more about the new features<https://simtk-confluence.stanford.edu:8443/pages/viewpage.action?pageId=489…> and download OpenSim 4.3<https://simtk.org/frs/?group_id=91> Tutorials for Using OpenSim Moco for EMG- and IMU-Tracking OpenSim Moco is a software package for solving common problems in simulation biomechanics, such as tracking motion based on experimental data from wearable sensors or optimizing the stiffness of an assistive device. Moco enables researchers to apply state-of-the-art direct collocation optimal control methods to solve these types of problems without requiring numerical expertise. Two new hands-on tutorials are now available that demonstrate how to use Moco to track accelerometer/inertial measurement unit (IMU) signals and perform EMG-driven simulations. Access hands-on tutorials by downloading OpenSim 4.3<https://simtk.org/frs/?group_id=91> and navigating to the folder where you installed OpenSim resources. Read more<https://simtk-confluence.stanford.edu:8443/pages/viewpage.action?pageId=489…> Learn more about OpenSense for IMU data and access a new shared dataset The ability to measure joint kinematics in natural environments over long durations using inertial measurement units (IMUs) could enable at-home monitoring and personalized treatment of neurological and musculoskeletal disorders. However, drift, or the accumulation of error over time, inhibits the accurate measurement of movement over long durations. We sought to develop an open-source workflow to estimate lower extremity joint kinematics from IMU data that was accurate, and capable of assessing and mitigating drift. We developed OpenSense (in OpenSim) and computed IMU-based estimates of kinematics using sensor fusion and an inverse kinematics approach with a constrained biomechanical model. We compared IMU- with optical-based estimates of kinematics from 11 subjects as they performed two 10-minute trials: walking and a repeated sequence of varied lower-extremity movements. Read the preprint<https://www.biorxiv.org/content/10.1101/2021.07.01.450788v1> | Access OpenSense by downloading OpenSim<https://simtk.org/frs/?group_id=91> | View the data<https://simtk.org/projects/opensense_val> An Open-source and Wearable System for Measuring 3D Human Motion in Real-time Want to monitor human movement in the wild? We've developed OpenSenseRT, a wearable motion capture system that uses IMUs and OpenSim to compute joint kinematics in real-time, building on the OpenSense tools discussed in the news item above. The system is low-cost ($100-$300), lightweight (400g), open-source, customizable, simple to build (no soldering or coding), and has similar accuracy to commercial systems. Read the paper<https://ieeexplore.ieee.org/document/9512410> | Read SimTK Instructions<https://simtk-confluence.stanford.edu/display/OpenSim/Wearable+and+Real-tim…> | View the demo<https://youtu.be/aYc-mX_-NAA> | View the assembly<https://youtu.be/9cg7VGpuxHU> | SimTK Repo<https://simtk.org/projects/realtimekin> Wu Tsai Human Performance Alliance at Stanford Seeking Software Engineer Do you want to be a key contributor to an award-winning, open-source software project whose mission is to transform what we know about human performance? Are you interested in helping athletes of all levels, from elite to beginner, understand how to optimize performance and prevent injury? Are you a full-stack software developer eager to work with world-class researchers and engineers on simulating and analyzing human performance? Join the Digital Athlete team as a software developer. The project is part of the Wu Tsai Human Performance Alliance at Stanford<https://humanperformance.stanford.edu/>. Apply now<https://careersearch.stanford.edu/jobs/software-engineer-13659> Attend a Course on Wearable Sensors in Rehabilitation: Tracking for the Future Course runs October 26-27, 2021 This course, being co-taught by C-STAR<https://www.sralab.org/cstar> and the Restore Center<https://restore.stanford.edu> at Stanford, will explore basic principles of using wearable sensors to effectively measure biometrics such as muscle health, movement, and vital signs in a rehabilitation population. First, we will review how common wearable sensors work and what they measure. Next, we will explore 3 research/clinical applications where wearable sensors were actively employed using IMU or EMG features. Finally, participants will have the opportunity to discuss potential approaches to using wearable devices to answer their own clinical or research questions with our esteemed faculty and peers. Register now<https://www.sralab.org/academy/person-learning/1026-1027-c-star-wearable-se…> Torsion Tool: An Automated Tool for Personalizing Femoral and Tibial Geometries in OpenSim Musculoskeletal Models The Torsion Tool allows an automatic, fast, and user-friendly way of personalizing femoral and tibial geometry in an OpenSim musculoskeletal model. Personalization is expected to be particularly relevant in pathological populations, as will be further investigated by evaluating the effects on simulation outcomes. This tool was developed by an international collaboration between Amsterdam UMC (Marjolein van der Krogt; Kirsteen Veerkamp, Hulda Jonasdottir), KU Leuven (Bryce Killen) and University of Vienna (Hans Kainz). The Matlab tool is available via the link below and has the advantage that it enables users to modify the neck-shaft angle additionally to the femoral anteversion and tibial torsion angles. The neck-shaft angle and the femoral anteversion angle greatly influence hip joint contact forces as shown in related publication. Read the publication<https://www.sciencedirect.com/science/article/pii/S0021929021003687?via%3Di…> | View the Matlab tool<https://simtk.org/projects/torsiontool> | Read the related publication<https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0235966> -- Joy P. Ku, PhD Deputy Director | Wu Tsai Human Performance Alliance at Stanford<https://humanperformance.stanford.edu/> Director of Education & Communications | Mobilize Center<https://mobilize.stanford.edu/> & Restore Center<https://restore.stanford.edu/> Stanford University 650.736.8434 | joyku(a)stanford.edu Supporting open-source biocomputational resources | OpenSim<https://opensim.stanford.edu/> & SimTK<https://simtk.org/>

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Pilot project grants, virtual office hours, software engineer opening, and more
by opensim 05 Aug '21

05 Aug '21

Apply for a Pilot Project Grant of Up to $30,000 Applications Deadline: October 1, 2021, 5 PM local time The Restore Center<http://restore.stanford.edu/> seeks proposals for its 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. We encourage all applicants from diverse backgrounds and experiences, including but not limited to those from underrepresented racial and ethnic groups, as well as those with disabilities, 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: September 3, 2021, 5 PM local time We are pleased to announce we will be holding Virtual Office Hours during the weeks of September 13 and September 20, 2021, 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://forms.gle/A6r2ZeZq2goEJJm67> Webinar: Accelerating Image-Based Knee Osteoarthritis Research Using Deep Learning: Research Examples and Best Practices Tuesday, August 17, 2021, at 10:00 AM Pacific Time Using deep learning to automatically assess individuals' disease status from medical images is an active area of research that is poised to change how outcomes are measured in our field. In this webinar, Kevin Thomas from Stanford University will discuss his research on using deep learning models to automatically analyze knee X-rays and MRIs of individuals with osteoarthritis. His models produced results that agreed with experts as closely as experts agree with one another. He will also share tips and tricks for conducting machine learning studies in your own research. Register now<https://mobilize.stanford.edu/webinar-accelerating-image-based-knee-osteoar…> Software Engineer Opening for Digital Athlete Project The Wu Tsai Human Performance Alliance at Stanford <https://humanperformance.stanford.edu/> is part of a newly launched six-university alliance with the mission of uncovering the fundamental principles of peak performance. Its Digital Athlete project is creating predictive models to guide the training and treatment for athletes and builds upon the OpenSim software capabilities. The Alliance at Stanford is seeking a software developer to join its team of world-class researchers and engineers to develop new tools in support of the Digital Athlete project. Learn more and apply<https://careersearch.stanford.edu/jobs/software-engineer-13659> MATLAB Tool for Bone Deformation of Generic OpenSim Models Luca Modenese from Imperial College London, together with Martina Barzan and Chris Carty from Griffith University, have recently released a MATLAB tool that enables researchers and clinicians in the biomechanical field to easily modify the rotational profile of the lower limb, e.g., femoral anteversion or tibial torsion, of OpenSim models. Examples of use employing popular lower limb models are available at the project links. Read publication<https://doi.org/10.1016/j.gaitpost.2021.06.014> | Download tool and scripts from SimTK<https://simtk.org/projects/bone_deformity> | Access code development via GitHub<https://github.com/modenaxe/msk-bone-deformation> Recordings from Symposium on Motion Analysis and Musculoskeletal Modeling in Treatment of Spinal Disorders Musculoskeletal modeling and simulations represent an attractive approach to non-invasively investigate the relationships between spinal structure and function in terms of position/motion and internal biomechanical loading. A symposium organized earlier this year by OpenSim researcher awardees Dennis Anderson and Lennart Scheys virtually brought researchers together to discuss the motion analysis techniques themselves, as well as their use in clinical applications and in evaluating the effects of spinal disorders on motion and loading. View recordings from these sessions<http://biomechanics.engr.uky.edu/content/program> Contribute to Mobile Health and Human Movement Research Contribute to mobile health and human movement research with Stanford University, all from your home! You can complete the study in around 20 minutes on a smartphone, and you will be compensated with a $30 Amazon gift card, in addition to being entered in a lottery for an additional $100 gift card! It consists of: 1) Recording a video with 5 sit-to-stand movements and 2) filling out a questionnaire. Go to sit2stand.ai<http://sit2stand.ai/> on your mobile device to participate. Anyone can participate - as long as you are over 18 years, in the US, and can safely move from sitting to standing. For participant's rights questions, contact 1-866-680-2906.

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Precision Rehabilitation Scientific Retreat + Bridge2AI Funding Opportunities
by Joy P. Ku 28 Jun '21

28 Jun '21

Precision Rehabilitation Scientific Retreat June 29-30th, 2021 How do we choose the best rehabilitation interventions for our patients? What makes an intervention better for one patient over another? Patient-specific intervention in rehabilitation is a growing need. Join us as we explore the concept of "precision rehabilitation" at the Medical Rehabilitation Research Resource Network (MR3 Network)<https://ncmrr.org/about> Precision Rehabilitation Scientific Retreat via Zoom. This event includes several sessions on wearable sensors and will be held on June 29-30th, 2021. Learn more and register<https://ncmrr.org/education-training/meetings-conferences/precision-rehab> Bridge to Artificial Intelligence (Bridge2AI) Funding Opportunities The new NIH Common Fund Program Bridge to Artificial Intelligence (Bridge2AI)<https://commonfund.nih.gov/bridge2ai> program will propel biomedical research forward by setting the stage for widespread adoption of artificial intelligence (AI) that tackles complex biomedical challenges beyond human intuition. The program provides funding opportunities, including ones for data generation projects for digital twins and movement phenotyping, as well as a team building platform for potential applicants. Learn more<https://commonfund.nih.gov/bridge2ai> -- Joy P. Ku, PhD Project Manager | SimTK<https://simtk.org/> Director of Communications and Engagement | Mobilize Center<https://mobilize.stanford.edu/> Director of Promotions and Didactic Interactions | Restore Center<https://restore.stanford.edu/> Director of Communications and Training | NCSRR<https://opensim.stanford.edu/> Stanford University 650.736.8434 | joyku(a)stanford.edu

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OpenSim Software Release, Research Opportunity, Office Hours
by Jen Hicks 31 Mar '21

31 Mar '21

*OpenSim 4.2 Available for Download* We are pleased to announce OpenSim 4.2 <https://simtk.org/frs/?group_id=91>, the newest version of the OpenSim software. The new software brings improvements that make it easier to use inertial measurement unit (IMU) data and the state-of-the-art direct collocation method with OpenSim. OpenSense, our workflow for working with IMU data, is now directly available in the OpenSim application (GUI), where you can visualize your IMU data and compute inverse kinematics. OpenSim Moco, our workflow for using direct collocation, is now available directly with OpenSim's Python, Matlab, and C++ interfaces. Read more about the new features <https://simtk-confluence.stanford.edu/pages/viewpage.action?pageId=48988768> and download OpenSim 4.2 <https://simtk.org/frs/?group_id=91> *Rice Computational Neuromechanics Lab Openings for PhD Students and Post-doctoral Researcher * The Rice Computational Neuromechanics Lab <https://rcnl.rice.edu/> directed by Dr. B.J. Fregly is looking for two PhD students and one post-doctoral researcher to work on a new five-year project with OpenSim. The project will develop innovative software technology that allows engineers working in collaboration with clinicians to design effective personalized surgical and neurorehabilitation interventions for movement impairments. Such impairments often result from clinical conditions such as stroke, osteoarthritis, spinal cord injury, and even cancer. The proposed software will create a virtual representation of the patient’s neuromusculoskeletal system and then apply virtual treatments to the virtual patient to identify the treatment design that will maximize post-treatment movement function. Learn more and apply <https://simtk.org/opportunities.php> *Apply to Participate in Virtual Office Hours for Biomechanical Modeling or Machine Learning Research Questions* *Applications due: April 9, 2021, 5 PM local time* *Meeting dates: Weeks of April 19 and April 26, 2021* We encourage you to apply to our April Virtual Office Hours to support researchers working with wearable sensors, video technology, and other modalities in rehabilitation research. These office hours are offered as part of the training efforts of our Restore <https://restore.stanford.edu/> and Mobilize <https://mobilize.stanford.edu/> Centers. 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 applicable. Learn more and apply <https://mobilize.stanford.edu/2021/03/12/apply-to-participate-in-virtual-of…> -- *Jennifer Hicks, Ph.D.* Director of Data Science | Mobilize Center <http://mobilize.stanford.edu/> Associate Director | NCSRR <http://www.stanford.edu/group/opensim/about/index.html> R&D Manager | OpenSim <http://opensim.stanford.edu/> Stanford University 650-498-4403 | jenhicks(a)stanford.edu

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