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Machine Learning: End-to-End guide for Java developers

You're reading from   Machine Learning: End-to-End guide for Java developers Data Analysis, Machine Learning, and Neural Networks simplified

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Product type Course
Published in Oct 2017
Publisher Packt
ISBN-13 9781788622219
Length 1159 pages
Edition 1st Edition
Languages
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Authors (2):
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Krishna Choppella Krishna Choppella
Author Profile Icon Krishna Choppella
Krishna Choppella
Uday Kamath Uday Kamath
Author Profile Icon Uday Kamath
Uday Kamath
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Toc

Chapter 9. Activity Recognition with Mobile Phone Sensors

While the previous chapter focused on pattern recognition in images, this chapter is all about recognizing patterns in sensor data, which, in contrast to images, has temporal dependencies. We will discuss how to recognize granular daily activities such as walking, sitting, and running using mobile phone inertial sensors. The chapter also provides references to related research and emphasizes best practices in the activity recognition community.

The topics covered in this chapter will include the following:

  • Introducing activity recognition, covering mobile phone sensors and activity recognition pipeline
  • Collecting sensor data from mobile devices
  • Discussing activity classification and model evaluation
  • Deploying activity recognition model

Introducing activity recognition

Activity recognition is an underpinning step in behavior analysis, addressing healthy lifestyle, fitness tracking, remote assistance, security applications, elderly...

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