The OpenSim project and the National Center for Simulation in Rehabilitation Research (NCSRR) at Stanford invite you to join our next webinar, Thomas Geijtenbeek, a biomechanics researcher at Delft University of Technology.

DETAILS
Title: Predictive Simulation of Biological Motion using SCONE
Speaker: Thomas Geijtenbeek, Delft University of Technology
Time: Thursday, October 24, 2019 at 11:00 a.m. Pacific Time
Register: https://simtk.webex.com/simtk/onstage/g.php?MTID=e36cbc140a4d7122b88e670e1b2fa1922 

New link for webinar: https://stanford.webex.com/stanford/onstage/g.php?MTID=ef5e99b01fe630a5c4d6e3655a4230267

ABSTRACT
Predictive simulation allows users to generate motion trajectories that optimally perform a specific task, according to high-level objectives such as walking speed, pain avoidance, and energy efficiency. It enables many powerful applications, such as predicting the outcome of treatment, and in silico testing and optimization of assistive devices. More fundamentally, it allows researchers to investigate principles of movement by posing true "what-if?" questions. Despite having shown great promise, the number of studies using predictive simulation has been remarkably limited. The main contributing factor is complexity: predictive musculoskeletal simulation is regarded as notoriously difficult to fully comprehend and implement.

SCONE (https://scone.software) is a fully featured software framework for predictive simulation that builds on OpenSim and is designed to help overcome these obstacles. It allows researchers to perform, analyze and reproduce custom predictive simulations through a user-friendly graphical user interface, without the need for programming skills. During the webinar, Dr. Geijtenbeek will provide an introduction to predictive simulations and will demonstrate how to use SCONE to run predictive simulations in two situations:

1) Simulating a standing high jump using a feedforward controller 

2) Simulating impaired gait using a reflex-based gait controller