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