MATLAB Projects with Android Phone Sensors
What you'll learn
- Install MATLAB Hardware Support Package for Android Sensors & MATLAB Mobile App
- Connect to Android Devices and Acquire Sensor Data
- Capture and Log Data from 5 Different Android Sensors
- Complete 6+ Sample Projects
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
- Android OS 4.0 or later on your device
Description
New! You can now acquire and process sensor data from your Android device using MATLAB! Impress your coworkers or other students, 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 iOS Sensors”
Build 6 Android Sensor Projects (Source Code Included)
In this course, you will master the MATLAB® Support Package for Android Sensors by building a unique set of projects which enable you to:
- Build Your Own 3D Compass
- Rotate 3D Objects Using Your Android Phone
- Detect Whether Android Devices is 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 Android sensors including:
- Acceleration Sensors - Learn how to use abrupt changes in your Android phone’s movement
- Magnetic Field Sensors - Explore magnetic fields used by the compass and other input devices
- Orientation Sensors - See how you can detect your Android phone’s state and control virtual items
- Angular Velocity Sensors - Detect your Android phone’s movement and use to control software
- Position Sensors - Capture your GPS position and speed and build location based apps
What You Get in This Course:
- 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.
- Android OS 4.0 or later on your device.
- Wifi Network for connecting your computer and Android device.
There’s no better time to expand your MATLAB skills and use your Android device to collect and process data. Enroll in this course and get started today!
Who this course is for:
- Engineers, Developers, and Scientists
- Professionals, Students, and Hobbyists
- Innovative Designers Looking to Develop Algorithms and New Tools
- Tinkers and Thinkers Looking to Explore Android Sensors
Instructor
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.