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

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...