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  • Book Overview & Buying Kinect for Windows SDK Programming Guide
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Kinect for Windows SDK Programming Guide

Kinect for Windows SDK Programming Guide

By : Abhijit Jana
4.6 (16)
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Kinect for Windows SDK Programming Guide

Kinect for Windows SDK Programming Guide

4.6 (16)
By: Abhijit Jana
Buy this Book

Overview of this book

Build motion-sensing applications with Microsoft\'s Kinect for Windows SDK quickly and easily with this book and ebook.
Table of Contents (13 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Understanding the Kinect Device
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1. Understanding the Kinect Device
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Components of Kinect for Windows
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Kinect for Windows versus Kinect for Xbox
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Where can you use Kinect
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Summary
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2. Getting Started
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2. Getting Started
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System requirements for the Kinect for Windows SDK
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Evaluation of the Kinect for Windows SDK
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Downloading the SDK and the Developer Toolkit
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Installing Kinect for Windows SDK
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Testing your device
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Looking inside the Kinect SDK
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Features of the Kinect for Windows SDK
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The Kinect for Windows Developer Toolkit
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Making your development setup ready
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The Coding4Fun Kinect Toolkit
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Summary
3
3. Starting to Build Kinect Applications
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3. Starting to Build Kinect Applications
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How applications interact with the Kinect sensor
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Kinect Info Box – your first Kinect application
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Dealing with the Kinect status
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Summary
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4. Getting the Most out of Kinect Camera
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4. Getting the Most out of Kinect Camera
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Understanding the Kinect image stream
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Different ways of retrieving the color stream from Kinect
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KinectCam – a Kinect camera application
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Enabling the color stream channel
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Looking inside color image stream helpers
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Capturing frames on demand
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Extending the KinectCam
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Applying more effects to the camera
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Seeing in low light
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Making your application perform better
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Using the Coding4Fun toolkit
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Summary
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5. The Depth Data – Making Things Happen
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5. The Depth Data – Making Things Happen
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Understanding the depth data stream
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Capturing and processing depth data
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Looking inside depth image stream helpers
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Depth data and distance
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Working with depth range
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Depth data distribution
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Player index with depth data
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Getting the depth and player index automatically
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A 3D view of depth data
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Summary
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6. Human Skeleton Tracking
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6. Human Skeleton Tracking
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How skeleton tracking works
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Skeleton tracking with the Kinect SDK
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Start tracking skeleton joints
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Flow – capturing skeleton data
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An intrusion detector camera application
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Looking inside skeleton stream helpers
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Skeleton-tracking mode
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Skeleton tracking in near mode
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The Skeleton
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Choosing which skeleton to track
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The building blocks – Joints and JointCollection
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Steps to be followed for joint tracking
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Create your own joints data point
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Bones – connecting joints
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Adjusting the Kinect sensor automatically and giving live feedback to users
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Skeleton smoothing – soften the skeleton's movement
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Skeleton space transformation
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The Advanced Skeleton Viewer application
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Debugging the applications
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Getting data frames together
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Summary
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7. Using Kinect's Microphone Array
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7. Using Kinect's Microphone Array
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Verifying the Kinect audio configuration
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Using the Kinect microphone array with your computer
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The Kinect SDK architecture for Audio
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Kinect microphone array
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Audio signal processing in Kinect
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Taking control over the microphone array
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Kinect sound recorder – capturing Kinect audio data
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Processing the audio data
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Sound source localization
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Summary
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8. Speech Recognition
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8. Speech Recognition
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How speech recognition works
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Using Kinect with your Windows PC speech recognition
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Beginning with Microsoft Speech API (SAPI)
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Draw What I Want – a speech-enabled application
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Summary
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9. Building Gesture-controlled Applications
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9. Building Gesture-controlled Applications
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What is a gesture
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Approaches for gesture recognition
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Basic gesture recognition
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Algorithmic gesture recognition
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Weighted network gesture recognition
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Template-based gesture recognition
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Building gesture-enabled controls
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The Basic Interaction – a WPF application
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Key things to remember
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Summary
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10. Developing Applications Using Multiple Kinects
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10. Developing Applications Using Multiple Kinects
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Setting up the environment for multiple Kinects
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Multiple Kinects – how to reduce interference
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Detecting multiple Kinects
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Developing an application with multiple Kinects
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Controlling multiple sensor status changes
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Handling a failover scenario using Kinects
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Challenges faced in developing applications using multiple Kinects
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Applications where multiple Kinects can be used
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Summary
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11. Putting Things Together
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11. Putting Things Together
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Taking Kinect to the Cloud
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Remotely using the Kinect with Windows Phone
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Using Kinect with a Netduino microcontroller
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Augmented reality applications
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Working with face tracking
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Working with XNA and a 3D avatar
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Summary
12
Index
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Index

Audio signal processing in Kinect

Kinect has its own inbuilt sophisticated audio-processing pipeline to filter the audio data. Once the source and position of the sound is calculated, the audio-processing pipeline merges the signals of all microphones and produces a signal with high-quality sound. Kinect can identify the sound within a range of +50 to -50 radians.

Note

The range of angle within which Kinect can listen is called source angle.

As Kinect is responsible for human voice recognition, the audio-processing pipeline also applies a filter on the wave frequency by suppressing all the frequencies that go out of the frequencies of the human voice (between 80 and 1100 Hz). Along with that, the pipeline is also responsible for filtering out other noise, removing the echoes, and producing an amplified voice.

The Kinect audio-processing pipelines use several digital signal processors (DSP) that have all the complex algorithms to produce better voice recognition, irrespective of the circumstances...

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Kinect for Windows SDK Programming Guide
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