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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

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)
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Kinect for Windows SDK Programming Guide
Credits
About the Author
Acknowledgement
About the Reviewers
www.PacktPub.com
Preface
1
Index

Algorithmic gesture recognition


Algorithmic gesture recognition is built on top of basic gesture recognition, hence the understanding of basic gesture recognition is essential for going ahead with the algorithmic approach. The algorithmic approach uses a set of predefined conditions and parameters to detect and validate a gesture against each of them. With the algorithmic approach, we basically validate a gesture as it is being performed, by ensuring the start points, constraints, parameters, and the end points are always valid.

Which gestures can be considered as algorithmic

You can consider the gestures to be measured by an algorithmic approach when gestures need to be validated against multiple conditions, multiple joints are involved, and where you need to measure the multiple states of gesture. If your application needs all the conditions to be validated and measured based on time or frames, you should go ahead with the algorithmic approach. So, before you go ahead and start implementing...

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