Book Image

Kinect for Windows SDK Programming Guide

By : Abhijit Jana
Book Image

Kinect for Windows SDK Programming Guide

By: Abhijit Jana

Overview of this book

Kinect has been a game-changer in the world of motion games and applications since its first release. It has been touted as a controller for Microsoft Xbox but is much more than that. The developer version of Kinect, Kinect for Windows SDK, provides developers with the tools to develop applications that run on Windows. You can use this to develop applications that make interaction with your computer hands-free. This book focuses on developing applications using the Kinect for Windows SDK. It is a complete end to end solution using different features of Kinect for Windows SDK with step by step guidance. The book will also help you develop motion sensitive and speech recognition enabled applications. You will also learn about building application using multiple Kinects.The book begins with explaining the different components of Kinect and then moves into to the setting up the device and getting thedevelopment environment ready. You will be surprised at how quickly the book takes you through the details of Kinect APIs. You will use NUI to use the Kinect for Natural Inputs like skeleton tracking, sensing, speech recognizing. You will capture different types of stream, and images, handle stream event, and capture frame. Kinect device contains a motorized tilt to control sensor angles, you will learn how to adjust it automatically. The last part of the book teaches you how to build application using multiple Kinects and discuss how Kinect can be used to integrate with other devices such as Windows Phone and microcontroller.
Table of Contents (19 chapters)
Kinect for Windows SDK Programming Guide
Credits
About the Author
Acknowledgement
About the Reviewers
www.PacktPub.com
Preface
Index

Template-based gesture recognition


Template-based gesture recognition is also known as pattern-based gestures. This gesture can potentially be used when we are not sure about how robust the recognition is. With this recognition system, the gesture-recognition engine matches the user movements with predefined gestures, and measures how correctly it was being performed. In this approach, gestures are first recorded and stored into a location in the normal way. While matching the gestures, the same set of user actions are taken as input parameters and validated against the stored data. The final result is driven from a probability ratio by matching the data between the existing data set and the data set that is currently being performed. Overall, the template-based recognition system involves the following phases:

  • Template creation

  • Gesture tracking

  • Template matching

The first phase of the template-based recognition system is template creation. In this phase, gestures are recorded and stored with...