Wearable Technology : Smart phones to sports monitoring

How wearable technology has developed and how you can create and analyse your own wearable data

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Description

In this course you will be introduced to wearable technology. Wearable technology today is common place in everything from smart phones , fitness trackers and smart watches. If you have ever wondered how it works or would like to do some analysis of your own then this course is for you!

Join Jim and Dan as they share from their 20years of experience in developing wearable sensors for elite sports and commercial organisations to help you get the most from yours.


In this course you will collect and analyse wearable sensor data  to help understand how you're favourite wearable such as an Apple Watch, Garmin or Fitbit actually works. If you don't have access to such a device the course also includes complete data sets and worked examples to help you work through the material.


A simple smart phone (Android) is used for most of the examples, though you can use our own device. For analysis if you have access to a spreadsheet that you can put data into, such as Microsoft Excel or Google Sheets they you have all the equipment you will need.  Come ready to record your own data through walking and running, these are the fundamental movements captured in many wearables and understand comes through doing


This course will walk you through every step of the way with lots of examples from different sports, sample data sets and extensive references so you can undertake you own investigations. It is not possible to cover every wearable technology on the market, though we introduce most of the underlying technologies, so in this course we focus on the workhorse of wearables, the accelerometer.


Enjoy!

Dan and Jim


What You Will Learn!

  • wearable technology
  • data processing
  • sports science
  • Acquire and examine wearable technology data

Who Should Attend!

  • People interested in how their smart wearables work
  • People interested in sports analysis and biomechanics
  • People interested in practical data analytics using real time data