Opensim description status and plans science advisor workshop june 1 2 2006
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OpenSim Description, Status, and Plans Science Advisor Workshop June 1-2, 2006. Clay Anderson , Ayman Habib, Pete Loan, and Scott Delp. What is OpenSim?. Object-Oriented Framework for the Simulation, Control, and Analysis. OpenSim, Gait Workflow. OpenSim API. CVODE, RootSolve, SQP, SA,

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Opensim description status and plans science advisor workshop june 1 2 2006

OpenSimDescription, Status, and PlansScience Advisor WorkshopJune 1-2, 2006

Clay Anderson, Ayman Habib, Pete Loan, and Scott Delp


What is opensim
What is OpenSim?

Object-Oriented Framework for the Simulation, Control, and Analysis

OpenSim, Gait Workflow

OpenSim API

CVODE, RootSolve, SQP, SA,

LAPACK, Simbody

Developers:

Clay Anderson (Framework)

Ayman Habib (Applications)

Peter Loan (Musculographics / SIMM)

Saryn Goldberg, May Liu, Ilse Jonker, Jen Hicks, Chand John, … … … …



Chief design goals
Chief Design Goals

  • Speed

  • Shareable code

  • Extensibility

  • Different Entry Levels

    • Algorithms

    • Modeling API

    • Scripting

    • Graphical User Interface

Matlab!


OpenSim API

RKF 5-6

CVODE

Simbody


Some code
Some Code

  • Like SIMM Dynamics Pipeline but using C++.

  • Platform independent

    • Windows

    • Mac

    • Linux

    • Other Unix flavors

  • CMake is a cross-platform compile system (www.cmake.org)

  • Swig is an automated wrapper generation facility

    • Java


Lowering the barrier for developers and users
Lowering the barrier for developers and users

  • Examples

    • Sample code

    • Templates for extending OpenSim (analyses, actuators, controllers)

  • Documentation

    • OpenSim Developer’s Guide

    • OpenSim API Reference (Doxygen)

  • Streamlined installation

  • Training

    • Workshops directed at solving your problems

  • Graphical User Interface (GUI)


Making simulation accessible opensim gui
Making Simulation Accessible- OpenSim GUI

Animation Playback

Data, Model,and SimulationNavigator

3D Visualization using VTK

Plotting

Simulation Progress

Command and Scripting Window


Investigations and workflows
Investigations and Workflows

  • Investigation- equivalent to something you’d normally write in a main routine

    • Optimization study

    • Inverse dynamics study

  • Workflow- a set of investigations

    • Gait Workflow

    • Subject-specific Simulation Workflow


Gait workflow

Step -1

Preprocess Experimental Data

Gait Workflow


Execution of the gait workflow currently
Execution of the Gait Workflow currently

% scale –Setup 900045_setup_scale.xml (seconds)

% ik –Setup 900045_setup_ik.xml (minute)

% rra –Setup 900045_setup_rra.xml (10 minutes)

% cmc –Setup 900045_setup_cmc.xml (10 minutes)

% perturb –Setup 900045_setup_perturb.xml (hours)

Should we develop facilities for executing workflows in a GUI?

  • Main OpenSim GUI

  • Stand-alone wizard


Preliminary release schedule

April 2006 OpenSim 0.5 (alpha)

June 2006 OpenSim 0.6 (alpha)

Use of OpenSim name space

Consistency in class names and file storage

Dependent on SIMM and SDFast

Sept 2006 OpenSim 0.7 (alpha)

API supports SIMM modeling features, switching dynamics engines and integrators

SIMM muscles native

GUI for visualizing models with muscles

Wizard for executing the gait workflow

Dec 2006 OpenSim 0.8 (alpha)

Simbody and CVODE available in OpenSim

80% of SIMM modeling features in GUI

No more dependence on SIMM / SDFast

documenting and testing

Mar 2007 OpenSim 0.9 (beta)

Streamlined installation

documenting and broader testing

June 2007 OpenSim 1.0

80% SIMM functionality

Simbody, CVODE

Gait Workflow

Documentation

Examples and pre-made simulations

Materials for a short course

August 2007 Dissemination Event

Tutorials adjunct to ASBAnnual Meeting

Preliminary Release Schedule


Some questions
Some Questions…

  • Do we need additional concepts in OpenSim?

    • sensors, contact, …

  • How important is interfacing with Matlab?

  • What SIMM features are priorities?

  • What new things would be most compelling to you?

    • control, dynamic optimization, speed, …

  • When should we engage users? Who?

  • Are we being too ambitious?

  • Are there some simple wins, killer apps?

  • What should we be thinking about beyond the next year?

    • “Directed Reductionism” and Sherm’s Modeling Layer


Acknowledgements
Acknowledgements

Supported by the National Institutes of Health

through the

NIH Roadmap for Medical Research Grant U54 GM072970.

NIH HD45109, HD38962, HD33929


Why use opensim
Why use OpenSim?

  • Many of the capabilities of SIMM

  • Choice of dynamics engines

    • SD/Fast (proven, but costs and requires compile step)

    • Simbody (free, no compile step, everything but loop joints)

  • Choice of integrators

    • RKF, CVODE, …

  • Pipeline for creating simulations from MoCap

    • CMC, …

  • Analyses

  • Extensible (plugins)

    • New actuators, controllers, analyses, …


Clinical importance
Clinical Importance

  • Movement disorders are a challenging problem.

  • The causes are not well understood.

  • Muscles are the targets of treatments.

  • Treatments are often unsuccessful.

Asakawa et al. (2004)

J Bone Jnt Surg


Subject specific simulation
Subject-Specific Simulation

1.18 m/s

78 kg, 1.78 m

19 DOF, 92 Muscles (Delp, 1990)

3 dofback

6 dofpelvis

3 dof

hips

1 dof

knees

1 dof

ankles

~1° Tracking Accuracy

~20 min computer time


Simulations generated with cmc
Simulations Generated with CMC

Each generated with less than 10 minutes of CPU time.


Limitations of cmc
Limitations of CMC

  • CMC is a tracking algorithm, not well suited for predicting emergent behavior.

    • Generating a simulation that replicates a subject’s gait cycle.

    • Solving for the theoretically most-efficient gait cycle.

  • CMC is dependent on the quality of the input data.

    • Kinematics

    • Ground reaction forces


Computed muscle control
Computed Muscle Control

Step 1:Compute Desired Accelerations (PD Control)

velocityerrors

positionerrors


Computed muscle control1
Computed Muscle Control

Step 2:Solve for Muscle Excitations

a) Integrate forward by T (0.010) to compute and .

b) Solve static optimization problem to find to achieve .

c) Root solve to find the muscle excitations that will generate .


Computed muscle control2
Computed Muscle Control

Step 3: Integrate from t to t+T


Computed muscle control3
Computed Muscle Control

Step 1

Step 2

Step 3

Repeat Steps 1, 2, and 3, until the final time is reached.



Number of 3d muscle actuated simulations of gait
Number of 3D, Muscle-Actuated Simulations of Gait

Liu, Jonkers, Arnold,

Thelen, Anderson, Delp

(92 Muscles)

Number

Hase et al.,

Sellers et at.

(~60 Muscles)

Yamaguchi & Zajac

(9 Muscles)

Anderson & Pandy

(54 Muscles)


Perturbation analysis
Perturbation analysis

*Hold other active forces constant



Knee extension in early swing for 6 subjects at 4 speeds

Average Knee Acceleration

Extension Phase

ext deg/s2flex

Knee Extension in Early Swing for 6 Subjects at 4 Speeds

All Subjects

All Speeds

% of total


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