Book Image

Android Sensor Programming By Example

By : Varun Nagpal
Book Image

Android Sensor Programming By Example

By: Varun Nagpal

Overview of this book

Android phones available in today’s market have a wide variety of powerful and highly precise sensors. Interesting applications can be built with them such as a local weather app using weather sensors, analyzing risky driving behavior using motion sensors, a fitness tracker using step-counter sensors, and so on. Sensors in external devices such as Android Watch, Body Analyzer & Weight Machine, Running Speed Cell, and so on can also be connected and used from your Android app running on your phone. Moving further, this book will provide the skills required to use sensors in your Android applications. It will walk you through all the fundamentals of sensors and will provide a thorough understanding of the Android Sensor Framework. You will also get to learn how to write code for the supportive infrastructure such as background services, scheduled and long running background threads, and databases for saving sensor data. Additionally, you will learn how to connect and use sensors in external devices from your Android app using the Google Fit platform. By the end of the book, you will be well versed in the use of Android sensors and programming to build interactive applications.
Table of Contents (13 chapters)
Android Sensor Programming By Example
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface

The Google Fit platform


Google Fit is a platform that allows developers to manage user fitness data effectively. Developers, on behalf of users, can upload, download, and persist their fitness data to a central repository in the cloud. This fitness data can range from simple height and weight numbers to individual step information. The fitness data can come from various data sources, such as fitness apps, Android sensors, Android wear sensors or any other device that can connect and upload data to the Google Fit platform. The data sources can be present either locally on the phone or can be in remote devices in the form of any app or hardware sensors. This fitness data management is done using three key components, as shown in the following diagram: the first is the Google Fitness Store, which resides in the cloud; the second are web-based REST APIs; and the third are Android Fitness APIs which are on the Android devices. Now let's discuss each one of them separately in detail.

Google Fitness...