Kinect for Windows SDK Programming Guide. Build motion-sensing applications with Microsoft's Kinect for Windows SDK quickly and easily Abhijit Jana

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Spis treści książki

• Kinect for Windows SDK Programming Guide
  • Table of Contents
  • Kinect for Windows SDK Programming Guide
  • Credits
  • About the Author
  • Acknowledgement
  • About the Reviewers
  • www.PacktPub.com
    • Support files, eBooks, discount offers and more
    • Why Subscribe?
    • Free Access for Packt account holders
    • Instant Updates on New Packt Books
  • Preface
    • What this book covers
    • What you need for this book
    • Who this book is for
    • Conventions
    • Reader feedback
    • Customer support
      • Downloading the example code
      • Errata
      • Piracy
      • Questions
  • 1. Understanding the Kinect Device
    • Components of Kinect for Windows
      • Inside the Kinect sensor
        • The color camera
        • IR emitter and IR depth sensor
          • How depth data processing works
        • Tilt motor
        • Microphone array
        • LED
    • Kinect for Windows versus Kinect for Xbox
    • Where can you use Kinect
    • Summary
  • 2. Getting Started
    • System requirements for the Kinect for Windows SDK
      • Supported operating systems
      • System configuration
      • The Kinect sensor
        • The Kinect for Windows sensor
        • The Kinect for Xbox sensor
      • Development tools and software
    • Evaluation of the Kinect for Windows SDK
    • Downloading the SDK and the Developer Toolkit
    • Installing Kinect for Windows SDK
      • Installing the Developer Toolkit
      • Components installed by the SDK and the Developer Toolkit
        • Kinect management service
      • Connecting the sensor with the system
        • Verifying the installed drivers
          • Not able to view all the device components
          • Detecting the loaded drivers in Device Manager
    • Testing your device
      • Testing Kinect sensors
      • Testing the Kinect microphone array
    • Looking inside the Kinect SDK
    • Features of the Kinect for Windows SDK
      • Capturing the color image data stream
      • Processing the depth image data stream
        • Near Mode
      • Capturing the infrared stream
      • Tracking human skeleton and joint movements
      • Capturing the audio stream
      • Speech recognition
      • Human gesture recognition
      • Tilting the Kinect sensor
      • Getting data from the accelerometer of the sensor
      • Controlling the infrared emitter
    • The Kinect for Windows Developer Toolkit
      • The Face Tracking SDK
      • Kinect Studio
    • Making your development setup ready
    • The Coding4Fun Kinect Toolkit
    • Summary
  • 3. Starting to Build Kinect Applications
    • How applications interact with the Kinect sensor
      • Understanding the classification of SDK APIs
    • Kinect Info Box your first Kinect application
      • Creating a new Visual Studio project
        • Adding the Kinect libraries
      • Getting the Kinect sensor
        • The Kinect sensor
        • Defining the Kinect sensor
        • The collection of sensors
      • Starting up Kinect
        • Inside the sensor.Start() method
        • Enabling the data streams
      • Identifying the Kinect sensor
        • Initializing the sensor using device connection ID
      • Stopping the Kinect sensor
        • The Stop() method does the clean-up operation
      • Displaying information in the Kinect Info Box
        • Designing the Info Box UI
        • Binding the data
          • A quick look at INotifyPropertyChanged
          • Using INotifyPropertyChanged for data binding
          • Setting the DataContext
          • Setting up the information
      • Thats all!
    • Dealing with the Kinect status
      • Monitoring the change in sensor status
        • Properties of the StatusChangedEventArgs class
      • Resuming your application automatically
      • Building KinectStatusNotifier
        • Setting up an application
        • How it works
      • Using KinectStatusNotifier
        • Test it out
    • Summary
  • 4. Getting the Most out of Kinect Camera
    • Understanding the Kinect image stream
      • Types of color images
    • Different ways of retrieving the color stream from Kinect
      • Event model
      • Polling model
    • KinectCam a Kinect camera application
      • Setting up the project
      • Designing the application XAML and data binding
      • Capturing color image from the Kinect camera
    • Enabling the color stream channel
      • Enabling a channel with the image format
      • Choosing the image format
      • Disabling the color stream channel
      • Attaching the event handler
      • Processing the incoming image frames
      • Rendering image frames on the UI
      • Running the KinectCam
    • Looking inside color image stream helpers
      • The ColorImageStream class
      • The ColorImageFrame class
    • Capturing frames on demand
    • Extending the KinectCam
      • Getting the frame number
      • Changing image format on the fly
        • Bind available image formats
        • Changing the color image format
      • Calculating frame rate
        • How to calculate frame rate
      • Capturing and saving images
        • Saving images periodically
        • Trying to save image frames directly
      • Changing the sensor elevation angle
        • Maximum and minimum elevation angles
        • Adjusting the Kinect sensor angle
      • Playing around the color pixels
        • Applying RGB effects
        • Making grayscale effects
        • Inverting the color
    • Applying more effects to the camera
      • Applying the backlight compensation mode
      • Applying slow motion effects
      • Kinect Camera Effects application
    • Seeing in low light
    • Making your application perform better
    • Using the Coding4Fun toolkit
      • Installing the Coding4Fun Kinect toolkit
        • Using assembly
        • Using the NuGet package
      • Using Coding4Fun Kinect libraries in your application
    • Summary
  • 5. The Depth Data Making Things Happen
    • Understanding the depth data stream
      • Depth data behind the scenes
      • Stereo triangulation
    • Capturing and processing depth data
      • Enabling the depth stream channel
      • Attaching the event handler
      • Processing the depth frames
      • Depth data at first look
    • Looking inside depth image stream helpers
    • Depth data and distance
      • How the distance is calculated
      • Getting the distance from a particular pixel
      • Accessing the range of distance
      • Colorize depth data processing
    • Working with depth range
      • Special depth range values
    • Depth data distribution
    • Player index with depth data
      • How player index works
      • Identifying players
    • Getting the depth and player index automatically
    • A 3D view of depth data
      • The basics of the coordinate system
      • Basic elements of 3D graphics
      • Setting up the project
      • Give it a 3D effect
        • Creating the ViewPort
        • Using the camera
          • Controlling the camera position
        • Creating the 3D Model
          • Building the mesh object
        • Setting up the initial data points
      • Getting the depth data from Kinect
      • Have a look at 3D depth
    • Summary
  • 6. Human Skeleton Tracking
    • How skeleton tracking works
      • Steps to remember
    • Skeleton tracking with the Kinect SDK
    • Start tracking skeleton joints
      • Tracking the right hand
        • Setting up the project
        • Creating a joint placeholder
        • Get Kinect running and instantiate skeleton tracking
          • Enabling and disabling the skeleton stream
        • Processing the skeleton frames
        • Mapping the skeleton joints with UI elements
        • Running the application
        • Adding more fun
    • Flow capturing skeleton data
    • An intrusion detector camera application
      • Adding night vision
    • Looking inside skeleton stream helpers
      • The skeleton frame
      • The skeleton stream
    • Skeleton-tracking mode
      • Default skeleton tracking
      • Seated skeleton tracking
        • Using seated-skeleton tracking
        • Points to be considered with seated-skeleton tracking
    • Skeleton tracking in near mode
    • The Skeleton
      • Skeleton-tracking state
        • Counting the number of tracked skeletons
    • Choosing which skeleton to track
      • Skeleton-tracking ID
      • Monitoring changes in the skeleton
      • Limiting tracking for the intrusion-detector camera
    • The building blocks Joints and JointCollection
      • Joint-tracking state
    • Steps to be followed for joint tracking
    • Create your own joints data point
    • Bones connecting joints
      • Bone sequence
        • Bone sequence for a default skeleton
        • Bone sequence for a seated skeleton
      • Drawing bones between joints
    • Adjusting the Kinect sensor automatically and giving live feedback to users
    • Skeleton smoothing soften the skeleton's movement
      • What causes skeleton jitters
      • Making skeleton movement softer
        • Smoothing parameters
      • How to check if skeleton smoothing is enabled
      • Exponential smoothing
    • Skeleton space transformation
    • The Advanced Skeleton Viewer application
    • Debugging the applications
      • Using conditional breakpoints
      • Using Kinect Studio
    • Getting data frames together
    • Summary
  • 7. Using Kinect's Microphone Array
    • Verifying the Kinect audio configuration
      • Troubleshooting: Kinect USB Audio not recognizing
    • Using the Kinect microphone array with your computer
    • The Kinect SDK architecture for Audio
    • Kinect microphone array
      • The major focus area of Kinect audio
      • Why microphone array
    • Audio signal processing in Kinect
    • Taking control over the microphone array
      • Kinect audio stream
      • Starting and stopping the Kinect audio stream
        • Starting audio streaming after a time interval
    • Kinect sound recorder capturing Kinect audio data
      • Setting up the project
      • Designing the application XAML and data binding
      • Recording the Kinect audio
        • Starting the recording
        • Playing the recorded audio
      • Running the Kinect Sound Recorder
    • Processing the audio data
      • Echo cancellation
      • Noise suppression
      • Automatic gain control
      • Audio data processing with the Kinect sound recorder
    • Sound source localization
      • Sound source angle
        • Confidence level
      • Beamforming
        • Beam angle mode
      • Extending the Kinect Sound Recorder with sound source localization
    • Summary
  • 8. Speech Recognition
    • How speech recognition works
    • Using Kinect with your Windows PC speech recognition
    • Beginning with Microsoft Speech API (SAPI)
      • Steps for building speech-enabled applications
      • Basic speech-recognition approach
      • Building grammar
        • Using Choice and GrammarBuilder
          • Appending new grammars
        • Building grammar using XML
        • Creating grammar from GrammarBuilder
        • Loading grammar into a recognizer
        • Unloading grammars
    • Draw What I Want a speech-enabled application
      • Setting up the project
      • Designing the application XAML and data binding
        • Data binding
      • Instantiating speech recognizer
      • Working with the speech recognition engine
        • Configuring Kinect audio
        • Creating grammar
        • Start the speech recognizer
      • Drawing an object when speech is recognized
      • Testing your application
    • Summary
  • 9. Building Gesture-controlled Applications
    • What is a gesture
    • Approaches for gesture recognition
    • Basic gesture recognition
      • Gesture-detection technique
        • Representing skeleton joints
        • Calculating the distance between two joints
      • Building a clapping-hands application
        • Setting up the project
        • Implementing the gesture recognizer
          • Defining the types of gestures
          • Defining the types of recognition results
          • Creating the event argument for the gesture
          • Wrapping up everything with the gesture recognition engine
        • Plugging gestures into the application
        • Testing your application
      • A virtual rope workout application
      • Hands-raised-above-head gesture recognition
      • Steps to recognize basic gestures
    • Algorithmic gesture recognition
      • Which gestures can be considered as algorithmic
      • Understanding the algorithmic gesture detection approach
      • Implementing an algorithmic gesture
        • Adding gesture types
        • Extending the Event argument
        • Adding a GestureHelper class
        • Defining the GestureBase class
        • Implementing the SwipeToLeftGesture class
        • Adding the ZoomIn, ZoomOut, and SwipeToRight gesture classes
        • Implementing the GestureRecognitionEngine class
        • Using the GestureRecognitionEngine class
        • A demo application
      • Making it more flexible
    • Weighted network gesture recognition
      • What is a neural network
      • Gesture recognition with neural networks
      • Jump tracking with a neural network an example
    • Template-based gesture recognition
    • Building gesture-enabled controls
      • Making a hand cursor
        • Getting the hand-cursor point
      • Identifying the objects
      • Enabling action for the objects
    • The Basic Interaction a WPF application
    • Key things to remember
    • Summary
  • 10. Developing Applications Using Multiple Kinects
    • Setting up the environment for multiple Kinects
      • Plugging the first Kinect sensor
      • Plugging the second Kinect sensor
      • Kinect sensors require an individual USB Controller
    • Multiple Kinects how to reduce interference
    • Detecting multiple Kinects
      • Getting access to the individual sensor
      • Different ways to get a Kinect sensor's reference
    • Developing an application with multiple Kinects
      • Setting up the project
      • Designing the UI
      • Creating the KinectInfoCollection
      • Getting information from Kinects
      • Running the application
    • Controlling multiple sensor status changes
      • Extending Multiple Kinect Viewer with status change
        • Registering and handling the status change
        • Running the application
      • Identifying the devices automatically
      • Integrating with KinectStatusNotifier
      • Capturing data using multiple Kinects
    • Handling a failover scenario using Kinects
    • Challenges faced in developing applications using multiple Kinects
    • Applications where multiple Kinects can be used
    • Summary
  • 11. Putting Things Together
    • Taking Kinect to the Cloud
      • Required components
        • Windows Azure
        • The Windows Azure SDK
        • The Kinect for Windows SDK
      • Designing the solution
      • Real-time implementations
    • Remotely using the Kinect with Windows Phone
      • Required components
        • The Windows Azure Service Bus
        • The Windows Phone SDK
      • Designing the solution
      • Real-time implementations
    • Using Kinect with a Netduino microcontroller
      • Required components
        • Microsoft .Net Micro Framework
        • Netduino
        • The Netduino SDK
      • Blinking of the on-board LED
        • Changing the Deployment Transport
        • Running the application
      • Connecting Kinect to a Netduino
        • Using an Internet connection
        • Listening to the request
        • Sending a request from a Kinect application
      • Taking it further
    • Augmented reality applications
    • Working with face tracking
    • Working with XNA and a 3D avatar
    • Summary
  • Index

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