Inspect3D Tutorial: Export Results: Difference between revisions
(→Perform PCA: Updated for v2023.08.22) |
m (Text replacement - "www.c-motion.com/download" to "www.has-motion.com/download") |
||
(One intermediate revision by one other user not shown) | |||
Line 8: | Line 8: | ||
==Data== | ==Data== | ||
This tutorial uses overground walking data from four subjects. The subjects walked at three different speeds: slow, normal and fast. The data was processed using a pipeline with automatic event detection and link model based item calculations (most notably the knee joint angles). [[https://www. | This tutorial uses overground walking data from four subjects. The subjects walked at three different speeds: slow, normal and fast. The data was processed using a pipeline with automatic event detection and link model based item calculations (most notably the knee joint angles). [[https://www.has-motion.com/download/examples/inspect3d_samples.zip Four Subjects Walking Data Set]]. | ||
This tutorial also uses query definitions that have been previously saved in a [[Q3D Query File|.q3d file]]. [[https://www. | This tutorial also uses query definitions that have been previously saved in a [[Q3D Query File|.q3d file]]. [[https://www.has-motion.com/download/examples/AnkleAngles.q3d AnkleAngles.q3d]]. | ||
==Load the library== | ==Load the library== | ||
Line 115: | Line 115: | ||
==Export PCA Results== | ==Export PCA Results== | ||
<div style="overflow: hidden"> | <div style="overflow: hidden"> | ||
[[Image: | [[Image:Inspect3D_Export_Results_Settings_PCA.png|400px|right]] Now that we have performed PCA, we have results to export. | ||
1. Click [[Image:I3DExportPCAResults.png|20px]] <b>Export Results</b> on the application toolbar. | 1. Click [[Image:I3DExportPCAResults.png|20px]] <b>Export Results</b> on the application toolbar. |
Latest revision as of 11:20, 22 May 2024
Language: | English • français • italiano • português • español |
---|
This tutorial will show you how to export the results of your analysis. This allows users to report specific signals, metrics, or events from a data set and to share results from analysis conducted within Inspect3D.
Data
This tutorial uses overground walking data from four subjects. The subjects walked at three different speeds: slow, normal and fast. The data was processed using a pipeline with automatic event detection and link model based item calculations (most notably the knee joint angles). [Four Subjects Walking Data Set].
This tutorial also uses query definitions that have been previously saved in a .q3d file. [AnkleAngles.q3d].
Load the library
As with previous tutorials, we begin by loading the library and defining the queries relevant to our question.
1. Click Load Library in the toolbar to open the Load Library dialog.
2. Click Browse and select the folder where the data is stored.
3. Click Load button to import the data.
Load queries and compute groups
For this tutorial we will load previously saved query definitions and use them to calculate our specific groups.
1. Click on the Query Definitions icon on the toolbar and then click on Load Query Def & Compute Groups.
2. Select the AnkleAngles.q3d file with the saved query definitions and Open them.
Three groups will now appear in the Groups list: ANKLE_ANGLE_X, ANKLE_ANGLE_Y, and ANKLE_ANGLE_Z. Clicking on any of the groups will show that each of the four workspaces is associated with that group.
Visualize the groups
Export Graphs
Export Signals to Text
Perform PCA
In order to export Principal Component Analysis (PCA)results, we have to first calculate the PCA results! For a full overview of how to perform PCA and interpret some of the results, see the tutorial.
1. Ensure that all groups and workspaces are selected in the Groups and Workspaces lists.
2. Open the PCA Options dropdown menu on the toolbar.
3. Set Number PCs to 4 and ensure that Use Workspace Mean is checked.
5. The results of these calculations will automatically populate the PCA graphs. If these aren't already displayed, click Show PCA Graphs in the PCA Options dropdown menu. Because the traces for each signal cluster around a distinctive mean value, almost all of the variance in these groups can be captured by a single principal component.
Export PCA Results
Recap
In this tutorial you learned how to export the traces visualized in Inspect3D to common image formats. You also learned how to export three types of data to text: Signals, Metrics, and PCA Results.