MATLAB Projects with iPhone & iOS Sensors

Build your own MATLAB programs using the Accelerometer, Compass, GPS & other iOS Sensors on your iPhone & iPad
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  • Lectures 19
  • Length 2 hours
  • Skill Level All Levels
  • Languages English
  • Includes Lifetime access
    30 day money back guarantee!
    Available on iOS and Android
    Certificate of Completion
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About This Course

Published 4/2016 English

Course Description

Now you can collect sensor data from your iPhone or Apple iOS device using MATLAB! Impress your friends, build some cool programs, and take your MATLAB skills to a new level with this interactive course. You’ll learn how to capture and utilize data from 5 different sensors without the need to buy additional software or hardware.

Please Note: THIS COURSE IS VERY SIMILAR TO “Build MATLAB Projects with Android Sensors”

Build 6 iPhone Sensor Projects (Source Code Included)

In this course, you will master the MATLAB® Support Package for Apple iOS Sensors by building a unique set of projects which enable you to:

  • Build Your Own 3D Compass
  • Rotate 3D Objects Using Your Phone
  • Detect iPhone Facing Up or Down
  • Track Position and Speed of A Car
  • Detect Shaking
  • Count Your Steps While Walking

Don’t struggle. I’ll show you step-by-step.

Getting set up is a little tricky, but, don’t worry, I’ll walk you through it. And if you have any problems you can ask for help through the discussion forum.  I’ll show an easy method to enable and acquire data from all 5 iOS sensors including:

  • Acceleration Sensors - Learn how to use abrupt changes in your iPhone’s movement
  • Magnetic Field Sensors - Explore magnetic fields used by the compass and other input devices
  • Orientation Sensors - See how you can detect your iPhone state and control virtual items
  • Angular Velocity Sensors - Detect your iPhone’s movement and use to control software
  • Position Sensors - Capture your GPS position and speed and build location based apps

You will learn how easy it is to enable these sensors and acquire data for your MATLAB programs.

in this course, you will get:

  • Instructional Videos
  • Interactive Exercises
  • 6+ Sample Projects
  • Source Code
  • 24/7 Instructor & Student Access
  • 30 Day Guarantee
  • Lifetime Course Access

To execute the code and examples, you will need:

  • MATLAB R2015a or later, for creating the connection to the application and logging sensor data.
  • iOS 8 or later on your device.
  • Wifi Network for connecting your computer and iOS device.

There’s no better time to expand your MATLAB skills and use your iPhone to collect and process data.  Enroll in this course and get started today!

What are the requirements?

  • Getting Started with MATLAB Programming course or familiarity with MATLAB is recommended.
  • To execute examples and projects in this course, you will need:
  • - MATLAB R2015a or later
  • - iOS 8 or later on your device

What am I going to get from this course?

  • Install MATLAB iOS Sensor Hardware Support Package & MATLAB Mobile App
  • Connect to iPhone and iPad Devices and Acquire Sensor Data
  • Capture and Log Data from 5 Different iOS Sensors
  • Process and Graph Accelerometer & Gyroscope Data
  • Detect and Display Magnetic Fields
  • Detect and Track Sensor Position and Speed and Display on Google Maps

Who is the target audience?

  • Engineers, Developers, and Scientists
  • Professionals, Students, and Hobbyists
  • Innovative Designers Looking to Develop Algorithms and New Tools
  • Tinkers and Thinkers Looking to Explore iPhone and iPad Sensors

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.


Section 1: Welcome
The Magic of Apple iOS Sensors
What You Need for This Course
Course Overview & How to Succeed
Section 2: Set up
Install MATLAB Hardware Support Package for iOS Sensors
Install MATLAB Mobile iPhone App

MATLAB Mobile and MATLAB Connector™ are intended for use behind a firewall on a private network. If you plan to useMATLAB Mobile over the public Internet, 3G, or 4G, consider using a Virtual Private Network (VPN).

Section 3: Interacting with iOS Sensors

Verify Your Setup by Connecting to your device, then enable sensors and acquire data.

Acceleration Sensor
Magnetic Field Sensor
Orientation Sensor
Angular Velocity Sensor
Position Sensor
Exercise 3-1: Using iOS Sensors
Section 4: Accelerometer Projects
Project 4-1: Counting Steps
Section 5: Magnetometer Projects
Project 5-1: 3D Compass
Section 6: Gyroscope Projects
Project 6-1: Which End Is Up?
Project 6-2: Virtual Reality Box
Section 7: Angular Velocity Projects
Project 7-1: Shake It Up Baby!
Section 8: GPS Projects
Project 8-1: Tracking Location & Speed

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Instructor Biography

Joe Papa, MATLAB Instructor & Founder, MATLAB University

Joe Papa is the founder of MATLAB University, which offers online and self-paced training programs to engineers, developers, and scientists.  He has personally made over $1.8 Million dollars using MATLAB during his engineering career and delivers training based on his real world experience.  The programs at MATLAB University boil down the vast info online and offer streamlined, interactive, and results-focused courses worldwide. 

Joe holds a Masters of Science degree specializing in Wireless Communications and Digital Signal Processing. He has also obtained a Certified Ethical Hacking Certification as well as an Expert Belt in Cybersecurity.

With over 20 year of experience Joe Papa has worked for some of the top tech companies in the world including Booz Allen Hamilton, Lucent Technologies – Bell Labs, Bell Communications Research, Verizon Wireless, NMS Communications, and the US Army. He's worked on teams that created innovative wireless technology used across the globe. This technology includes voice quality enhancements and wireless radio systems deployed worldwide.

Joe has also started four businesses including Mobile Insights, a marketing technology company. He lives in New Jersey with his wife and twin baby girls.

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