Visual Gesture Builder (VGB)

This post has been republished via RSS; it originally appeared at: Channel 9.

It's been a long time since we've highlighted the Visual Gesture Builder (VGB), Custom Gestures, Kinect for Windows v2 and the Visual Gesture Builder and Saluting the Visual Gesture Builder - Details and example code.

It's a great tool and one that can really help streamline your Kinect development, so it's time to look at it again...

Visual Gesture Builder: Overview

Visual Gesture Builder (VGB) generates data that applications use to perform gesture detection at run time. Even for simple cases, gesture detection is a challenging task that may require many lines of code to obtain reliable results, considering all of the different users and spaces that an application might encounter. By using a data-driven model, VGB shifts the emphasis from writing code to building gesture detection that is testable, repeatable, configurable, and database-driven. This method provides better gesture recognition and reduces development time.
VGB uses a number of detection technologies. The user selects the detection technologies to use—namely AdaBoostTrigger or RFRProgress—and tags frames in a clip related to a meaningful gesture, such as a punch or a kick. At the end of the tagging process, VGB builds a gesture database; with this database, an application can process body input from a user to, for example, detect a hit or swing progress.
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The following are some of the results of using VGB:
Mitigating the current code-intensive approach.
Reusing gesture definitions in different versions of the same application.
Sharing gesture definitions among applications.
Creating a library of gesture definitions.
Improving the predictability and reliability of gesture definitions.
Testing framework for gesture detection.
Analyzing and visualizing gesture-detection results.
Managing a large quantity of data in a user friendly IDE.
Using Visual Gesture Builder

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