Sift Tutorial: Visualizing Healthy Human Walking
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Sift can be used to explore publicly available data sets such as the Healthy Human Walking data set, This tutorial will show you how to use Visual3D to process the .c3d files from this data set, and then how to clean and visualize the data using Sift.
Data
This tutorial uses publicly available data from the paper A biomechanics dataset of healthy human walking at various speeds, step lengths and step widths, which provides an overview of how the data was collected, processed, and stored. Briefly, force plate data and marker-based motion capture data were collected for 10 different participants over 33 walking trials each, with various step lengths, step widths, step frequencies, and speeds. Ground reaction force data were sampled at 1200 Hz and motion capture data were sampled at 120 Hz.
We are interested in the .c3d files that can be downloaded here.
Also necessary are the Visual3D pipeline scripts, model templates, and Inspect3D query definitions that can be downloaded here.
- Create_CMO.v3s: Script for creating a participant's CMZ file from the data set's C3D files.
- CleanForceAssignments: Folder of scripts called by Create_CMO.v3s to clean force assignments.
- HealthyHumanWalking_ModelTemplate.mdh: Visual3D model for the C3D files.
- HealthyHumanWalking-ReportTemplate.rgt: Report template for the CMZ file.
- HealthyHumanWalking-GRF.q3d: Query definitions for the three components of both the left and right ground reaction forces.
- HealthyHumanWalking-XComponent.q3d: Query definitions for the X component of all signals of interest, with signals not combine across sides of the body.
- HealthyHumanWalking-LeftRight.xml: Colour palette matching the colours used in Figure 3 to denote the left and right sides of the body.