Android Sensor Programming By Example
Android Sensor Programming By Example
作者:Varun Nagpal
年份:2016
页数:194
大小:4.1 MB
格式:PDF
语言:English

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.

Who This Book Is For

This book is targeted at Android developers who want to get a good understanding of sensors and write sensor-based applications, or who want to enhance their existing applications with additional sensor functionality. A basic knowledge of Android development is required

What You Will Learn

  • Learn about sensor fundamentals, different types of sensors, and the sensor co-ordinate system
  • Understand the various classes, callbacks, and APIs of the Android Sensor framework
  • Check all the available sensors on an Android device and know their individual capabilities-for example, their range of values, power consumption, and so on
  • Implement sensor fusion using two or more sensors together and learn to compensate for the weakness of one sensor by using the strength of another
  • Build a variety of sensor based, real-world applications such as Weather, Pedometer, Compass, Driving Events Detection, Fitness Tracker, and so on
  • Get to know about wake up and non-wake up sensors, wake locks, and how to use sensor batch processing along with the sensor hardware FIFO queue
  • Develop efficient battery and processor algorithms using raw sensor data to solve real-world problems
  • Connect to a variety of remote sensors such as body weight measurement and body fat percentage measurement using the Google Fit platform from your Android app