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OpenGL Data Visualization Cookbook

You're reading from   OpenGL Data Visualization Cookbook Over 35 hands-on recipes to create impressive, stunning visuals for a wide range of real-time, interactive applications using OpenGL

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Product type Paperback
Published in Aug 2015
Publisher Packt
ISBN-13 9781782169727
Length 298 pages
Edition 1st Edition
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Table of Contents (11) Chapters Close

Preface 1. Getting Started with OpenGL 2. OpenGL Primitives and 2D Data Visualization FREE CHAPTER 3. Interactive 3D Data Visualization 4. Rendering 2D Images and Videos with Texture Mapping 5. Rendering of Point Cloud Data for 3D Range-sensing Cameras 6. Rendering Stereoscopic 3D Models using OpenGL 7. An Introduction to Real-time Graphics Rendering on a Mobile Platform using OpenGL ES 3.0 8. Interactive Real-time Data Visualization on Mobile Devices 9. Augmented Reality-based Visualization on Mobile or Wearable Platforms Index

Visualizing real-time data from built-in Inertial Measurement Units (IMUs)


Many modern mobile devices now integrate a plethora of built-in sensors including various motion and position sensors (such as an accelerometer, gyroscope, and magnetometer/digital compass) to enable novel forms of user interaction (such as complex gesture and motion control) as well as other environmental sensors, which can measure environmental conditions (such as an ambient light sensor and proximity sensor) to enable smart wearable applications. The Android Sensor Framework provides a comprehensive interface to access many types of sensors, which can be either hardware-based (physical sensors) or software-based (virtual sensors that derive inputs from hardware sensors). In general, there are three major categories of sensors—motion sensors, position sensors, and environmental sensors.

In this section, we will demonstrate how to utilize the Android Sensor Framework to communicate with the sensors available on your...

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