Book Image

OpenGL Data Visualization Cookbook

Book Image

OpenGL Data Visualization Cookbook

Overview of this book

OpenGL is a great multi-platform, cross-language, and hardware-accelerated graphics interface for visualizing large 2D and 3D datasets. Data visualization has become increasingly challenging using conventional approaches as datasets become larger and larger, especially with the Big Data evolution. From a mobile device to a sophisticated high-performance computing cluster, OpenGL libraries provide developers with an easy-to-use interface to create stunning visuals in 3D in real time for a wide range of interactive applications. This book provides a series of easy-to-follow, hands-on tutorials to create appealing OpenGL-based visualization tools with minimal development time. We will first illustrate how to quickly set up the development environment in Windows, Mac OS X, and Linux. Next, we will demonstrate how to visualize data for a wide range of applications using OpenGL, starting from simple 2D datasets to increasingly complex 3D datasets with more advanced techniques. Each chapter addresses different visualization problems encountered in real life and introduces the relevant OpenGL features and libraries in a modular fashion. By the end of this book, you will be equipped with the essential skills to develop a wide range of impressive OpenGL-based applications for your unique data visualization needs, on platforms ranging from conventional computers to the latest mobile/wearable devices.
Table of Contents (16 chapters)
OpenGL Data Visualization Cookbook
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
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...