Webinar: Quantitative Movement Analysis Using Single-camera Videos February 9, 2021, at 10:00 a.m. Pacific Time The Mobilize Center<https://mobilize.stanford.edu/> is launching their webinar series featuring Lukasz Kidzinski from Stanford University presenting "Quantitative Movement Analysis Using Single-camera Videos". In the first half of this webinar, he will present our findings from analyzing a dataset of 1700+ videos of patients from Gillette Children's Specialty Healthcare. The second half of the webinar will be a short hands-on tutorial aimed at getting individuals started on running deep learning algorithms in the cloud to analyze movement from a single-camera video. Register now<https://mobilize.stanford.edu/2021/01/21/mobilize-webinar-quantitative-movement-analysis-using-single-camera-videos/> "Biomechanics of Movement" Textbook and Online Resources We are pleased to announce the publication of the "Biomechanics of Movement: The Science of Sports, Robotics, and Rehabilitation" textbook, authored by Scott Delp and Thomas Uchida. The book describes foundational biological and physics-based concepts that have been used to analyze movement. It also guides readers in the use of modeling and simulation for understanding movement and is accompanied by online resources, including homework problems, models, and data. Explore the resources and the book<https://biomech.stanford.edu/> MATLAB Toolbox to Batch Process Data for OpenSim Bruno Bedo from University of Ottawa and colleagues have released BOPS, an open-source MATLAB toolbox for batch processing common OpenSim procedures, such as inverse kinematics and joint reaction analysis. It provides a graphical user interface for customizing the workflow. BOPS is described in more detail in a recent publication in Computer Methods in Biomechanics and Biomedical Engineering. Read more<https://www.tandfonline.com/doi/abs/10.1080/10255842.2020.1867978> | Access BOP<https://simtk.org/projects/bops> Opening for Digital Human Modeling Postdoctoral Fellowships at Stanford University A team of faculty at Stanford University, including Professors Scott Delp, Garry Gold, Karen Liu, Akshay Chaudhari, Ellen Kuhl, Oussama Khatib, Fei Fei Li, and Serena Yeung is accepting applications for several Postdoctoral Fellows in digital human modeling. Individuals with backgrounds in biomechanics, neuroscience, biomedical imaging, biomedical informatics, robotics, and computer science are all welcome to apply. We are searching for outstanding individuals to join our team and develop new methods to simulate and analyze human movement. Our interdisciplinary approach will leverage novel data sources, such as real-world wearable sensors and video, advanced biomedical imaging, multi-scale modeling, and state-of-the-art models of neural control. Learn more and apply<https://nmbl.stanford.edu/opportunities/postdoctoral-fellowships-in-digital-human-modeling/> -- 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@stanford.edu