Join the Next OpenSim Webinar “Metabolic Cost Modeling: Experimental Validation and Predictive Simulations”

September 26, 2019 at 10am Pacific Daylight Time

In this webinar, Anne Koelewijn from Friedrich-Alexander Universität Erlangen-Nürnberg and Antonie van den Bogert from Cleveland State University will discuss their investigation into whether muscle activation or metabolic energy is minimized during human movement. They will highlight their experimental validation of seven different metabolic models and discuss their predictive simulations using objectives of metabolic cost versus that of squared muscle activation.  Learn more and register

Register for CAMS-Knee OpenSim Workshop

February 4-7th, 2020 in Zürich, Switzerland

November 1, 2019 - Abstract submission deadline

November 15, 2019 - Early bird registration deadline

We invite you to participate in a 4-day workshop, featuring a unique live collection of in vivo knee joint contact forces and tendon loading datasets, which will be used by participants throughout the workshop. These measurements will be complemented by keynote lectures, software demonstrations, participant research talks, and free time for participants to work on their own projects and consult with experts. The workshop is based on the joint project “CAMS-Knee” from the Laboratory for Movement Biomechanics, ETH Zurich & Julius Wolff Institute, Charité – Universitätmedizin Berlin. It is limited to 200 people, so please make sure to register early for the event. Participants are also encouraged to submit an abstract for research talks and poster awards. Register now

Open-Source Software Framework Available to Predict Human Movement De Novo

Thomas Geijtenbeek, a postdoctoral researcher at Delft University, has released the software SCONE (Simulated Controller OptimizatioN Environment). Unlike traditional simulation approaches, which rely on existing data and cannot predict new behavior, SCONE computes motion trajectories based on high-level objectives such as stability, energy efficiency, and pain avoidance. The open-source software framework provides a graphical user interface and currently supports OpenSim models and simulations. The website provides several examples of tasks which utilize SCONE, including predictions of a standing high jump, healthy gait, and gait for individuals with weak plantarflexors and/or short hamstrings. SCONE builds upon Dr. Geijtenbeek’s NCSRR Visiting Scholar project. Read more about SCONE. Download SCONE 

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Joy P. Ku, PhD

Project Manager, SimTK

Director of Communications & Training, NCSRR

Director of Communications & Engagement, Mobilize Center

Stanford University

(w)  650.736.8434

Email:  joyku@stanford.edu