Webinar on Clinically Accessible Movement Analysis Wednesday, June 25, 2025 at 9:00 AM PDT We are pleased to announce our upcoming webinar with R. James Cotton from the Shirley Ryan AbilityLab entitled “Clinically Accessible Movement Analysis Using Single and Multiview Video.” Markerless motion capture offers a promising path toward high-quality movement analysis in both clinical and research settings. However, translating video data into clinically meaningful insights requires not just ease of use, but also accuracy sufficient to capture clinically relevant outcomes and differences. In this webinar, Dr. Cotton will discuss his lab’s recent advances in markerless motion capture that address these needs using both single-camera and multiview video approaches. He will also lead an interactive tutorial on fitting biomechanics from a sample monocular video using his algorithms. This event is hosted jointly by the Mobilize<http://mobilize.stanford.edu> and Restore<http://restore.stanford.edu/> Centers. Learn more and register<https://mobilize.stanford.edu/webinar-clinically-accessible-movement-analysis-using-single-and-multiview-video/> | Read the preprint<https://arxiv.org/abs/2402.17192> Apply to Participate in Virtual Office Hours for Biomechanical Modeling or Machine Learning Research Questions Application Deadline: June 23, 2025, 5 PM local time Office Hour Dates: July 14-18, 2025 The Mobilize<http://mobilize.stanford.edu> and Restore<http://restore.stanford.edu/> Centers are pleased to announce they will be holding Virtual Office Hours July 14-18, 2025, 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/2025/05/22/apply-to-participate-in-virtual-office-hours-for-biomechanical-modeling-or-machine-learning-research-questions-11/> OpenCap Reaches New Milestone, Enables 300,000+ Video-Based Movement Trials Thank you to our 4,000+ users who have collected over 300,000 trials using OpenCap! OpenCap is a freely available, cloud-based tool that uses smartphones to measure both human movement kinematics (i.e., joint angles) and kinetics (e.g., muscle activations, ground reaction forces, and joint loading). It enables researchers to capture human movement 25% faster at a fraction of the cost and was developed by Drs. Scott Uhlrich, Antoine Falisse, and Lukasz Kidzinski, along with other Mobilize Center<http://mobilize.stanford.edu> researchers at Stanford. Interested in using OpenCap for your own data? Our getting started<https://www.opencap.ai/get-started> and best practices<https://www.opencap.ai/best-practices> materials will help you begin collecting data. Access OpenCap software<http://opencap.ai> | Read publication<https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1011462> “Past, Present, and Future of Clinical Gait Analysis” Keynote at GCMAS Annual Meeting June 17-21, 2025, Columbus, OH, USA Scott Delp, Professor of Bioengineering, Mechanical Engineering, and Orthopaedic Surgery at Stanford University, will deliver a featured keynote entitled “Past, Present, and Future of Clinical Gait Analysis” at the annual meeting of Gait and Clinical Movement Analysis Society (GCMAS). This mutli-disciplinary conference brings together clinicians, scientists, engineers, and therapists dedicated to advancing the science and practice of human movement analysis. Join Professor Delp to discuss how clinical gait analysis is changing, especially in the face of artificial intelligence and emerging sources of data, such as wearables and smartphone videos. Learn more<https://nationwidechildrens.cloud-cme.com/course/courseoverview?P=5&EID=38980&IsExhibitor=false> — OpenSim is 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); and the Wu Tsai Human Performance Alliance <https://humanperformancealliance.org/> through the Joe and Clara Tsai Foundation. No longer want to receive these emails? Unsubscribe<https://lists.simtk.org/mailman/listinfo/opensim-announcement>