This tutorial presumes that you have completed {doc}Scaling tutorial
Lesson 1: Joint to joint scaling methods <lesson1>
. It
covered the methods ScalingStandard, ScalingUniform, ScalingLengthMass
and ScalingLengthMassFat.
This lesson introduces a statistical scaling method based on external measures.
The scaling laws we discussed in Lesson 1 are using measures for the
segment lengths based on joint-to-joint distances, but some joint
locations cannot be easily palpated. The hip joints are a good example.
They are located deep under the skin and are not easy to measure from
the outside. So to facilitate scaling to individuals, another method of
scaling is provided that use only distances between external
bony landmarks.
Here is where our Statistical Scaling
Plugin
comes into play. It is a plugin that can be used to scale a model by specifying
a few anatomical or functional anthropometric parameters while calculating the
remaining parameters based on statistical data from the ANSUR 1 database.
In order to use the plugin, you need to include it in your model:
#define BM_SCALING _SCALING_XYZ_
#include "<ANYBODY_PATH_AMMR>/Tools/Plugins/ANSUR_Plugin.any"
// Define a path variable so the plugin knows where to write
// Anthropometric information.
#path ANSUR_PLUGIN_ANYMAN_FILE "AnyMan_ANSUR.any"
#include "<ANSUR_PLUGIN_ANYMAN_FILE>"
We are enabling the _SCALING_XYZ_
law. The plugin is designed to work with this scaling law only.
We will get back to how this law works in a later lesson.
Notice also that we are including the file AnyMan_ANSUR.any
which we need to
create in order for the plugin to work. The plugin will write the anthropometric
information to this file. Create the file next to the main file of your model
and add the following content:
// Anthropometrics file generated based on ANSUR PCA scaling
Main.HumanModel.Anthropometrics =
{
BodyMass = 81.99788166330553;
BodyHeight = 1.8000000000000007;
};
Main.HumanModel.Anthropometrics.SegmentDimensions =
{
HeadDepth = DesignVar(0.19854919694591627);
HeadHeight = DesignVar(0.13435062679846901);
HeadWidth = DesignVar(0.15408461276045118);
Left.FootHeight = DesignVar(0.05346215076533939);
Left.FootLength = DesignVar(0.26540765594237714);
Left.FootWidth = DesignVar(0.08057585258177535);
Left.HandBreadth = DesignVar(0.08836086489212641);
Left.HandLength = DesignVar(0.18919620482784752);
Left.LowerArmLength = DesignVar(0.2787988940627688);
Left.ShankLength = DesignVar(0.44933350273014644);
Left.ThighLength = DesignVar(0.4329345672323976);
Left.UpperArmLength = DesignVar(0.31474556404210224);
NeckLength = DesignVar(0.13339097946419404);
PelvisDepth = DesignVar(0.14549510408533453);
PelvisHeight = DesignVar(0.10915196667715318);
PelvisWidth = DesignVar(0.17734410213497);
Right.FootHeight = DesignVar(0.05346215076533939);
Right.FootLength = DesignVar(0.26540765594237714);
Right.FootWidth = DesignVar(0.08057585258177535);
Right.HandBreadth = DesignVar(0.08836086489212641);
Right.HandLength = DesignVar(0.18919620482784752);
Right.LowerArmLength = DesignVar(0.2787988940627688);
Right.ShankLength = DesignVar(0.44933350273014644);
Right.ThighLength = DesignVar(0.4329345672323976);
Right.UpperArmLength = DesignVar(0.31474556404210224);
TrunkDepth = DesignVar(0.1943939027626778);
TrunkHeight = DesignVar(0.6496243660543214);
TrunkWidth = DesignVar(0.3781679964242773);
};
After saving this file, you can load the model and the anthropometrics from the
file will be used to scale the model.
To change the scaling of the model you can start the plugin by clicking the
ANSUR Configuration from the tools line:
```{image} _static/lesson2/ANSUR_Plugin_toolbar_icon.jpg
This will bring up the plugin window:
```{image} _static/lesson2/ANSUR_plugin_window.jpg
The plugin has 4 tabs:
At the bottom of the window you can see the Load to AMS button. This button
will write the selected dimensions to the file AnyMan_ANSUR.any
and load the
model.
{rubric} Footnotes
:::{admonition} Next lesson:
:class: seealso
{doc}lesson3
.
:::
Gordon, C. C. et al. 1988 Anthropometric Survey of U.S. Army personnel: methods and summary statistics. (US Army Natick Research, Development and Engineering Center, 1989). ↩