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Android Sensor Programming By Example

You're reading from   Android Sensor Programming By Example Take your Android applications to the next level of interactivity by exploring the wide variety of Android sensors

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Product type Paperback
Published in Apr 2016
Publisher Packt
ISBN-13 9781785285509
Length 194 pages
Edition 1st Edition
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Author (1):
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Varun Nagpal Varun Nagpal
Author Profile Icon Varun Nagpal
Varun Nagpal
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Table of Contents (8) Chapters Close

Preface 1. Sensor Fundamentals FREE CHAPTER 2. Playing with Sensors 3. The Environmental Sensors – The Weather Utility App 4. The Light and Proximity Sensors 5. The Motion, Position, and Fingerprint Sensors 6. The Step Counter and Detector Sensors – The Pedometer App 7. The Google Fit Platform and APIs – The Fitness Tracker App

Platform basics


The following section explains the platform basics and fitness data formats and terminologies used by the Google Fit platform.

Data sources

Data sources represent unique sources of sensor data. They can expose raw data coming from hardware sensors on local or companion devices, which is categorized as TYPE_RAW. Data sources also expose derived data, created by transforming or merging other data sources, which are categorized as TYPE_DERIVED. They hold the metadata regarding the source, such as which hardware device (device name) or application (package name) generated the data. Multiple data sources can exist for the same data type, for example for the heart rate data type, we can have a heart rate sensor in a watch and a heart rate sensor in a chest wrap that show as two different data sources for one data type.

Data types

A data type defines the representation and format of any fitness data. It consists of a name and an ordered list of fields, where each field represents a...

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