Table of Contents

C3D

Purpose

This tutorial shows you how to generate real time feedback from the Visual3D RealTime Tab when streaming a C3D file through Visual3D. The pictures and example in this tutorial are specific to graphing Left Ankle Angles. However, the same principles can be applied to any Link Model Based items.

Steps

Preparing for the Tutorial

  1. Download the file model.zip
  2. Save the file where you would normally save motion capture files.

These sample Qualysis files were downloaded from C3D.org

Step 1 - Open CMO File

1. From the File menu, select Open/Add…, Choose model.cmo


2. From the workspace status screen, verify the model file named Standing_Hybrid_2.c3d appears in the column labeled Models/Calibration Files. 		loadrtmodel.jpg
3. Switch to the Models tab to verify bones in picture
 rtverifybones.jpg


Step 2 - Connect to RT stream/Load Emulation

1. Open the Real-Time tab

2.a. To connect to the C3D stream using the Builtin RT plugin: (more….)
Click C3DFile_RT (used to emulate a camera system)




Browse to the dynamic C3D file (Walking_Hybrid_2.c3d)




NOTE: Before using the real time stream users should test using C3D files collected in their lab 		rtemulatecamera.jpg
2.b. To connect to the C3D stream using the External RT plugin: (more….)



For instructions on how to run biofeedback through Visual3D server see the Visual3D Server Tutorial.


3. The data is automatically applied to the model

Note: Streaming status in lower left

Step 3 - Compute model based item: RT pipeline

  1. Open up Model Based Data Computation under the Real-Time Pipeline

  2. Double click Compute_Model_Based_Data

  3. Click Edit
    rtpipeline_cmbd.jpg

  4. Change the corresponding:

    Data Name: Ankle Folder: ORIGINAL Model Based Item Properties: JOINT_ANGLE Segment: Right Foot Reference Segment: Right Shank

    capture_model_based_data.jpg

  5. Click Done

    Step 4 - Create Graph

    1. Click Add in the Real-Time Graphs section, and enter the following:

      Data to: LINK_MODEL_BASED::ORIGINAL::Ankle

      graphdef.jpg

    2. Click OK

      Complete

      Your result should show a Real-Time stream that looks like the picture below

      final.jpg

      Remember to save the Graph and RT Pipeline