9DoF Sensor Stick Hookup Guide
Contributors:
Alex the Giant
Resources and Going Further
For more information about the 9DoF Sensor Stick, check out the links below:
- Schematic (PDF)
- Eagle Files (ZIP)
- LSM9DS1 Datasheet (PDF) -- This datasheet covers everything from the hardware and pinout of the IC, to the register mapping of the gyroscope and accelerometer/magnetometer.
- GitHub Repos
- LSM9DS1 Arduino Library
- Product Repo -- Your revision-controlled source for the 9DoF Sensor Stick. Here you'll find our most up-to-date hardware layouts and code.
- SparkFun Product Showcase: SparkFun 9DoF Sensor Stick
Now that you've got the Sensor Stick up-and-running, what project are you going to incorporate motion-sensing into? Need a little inspiration? Check out some of these tutorials!
- Dungeons and Dragons Dice Gauntlet -- This project uses an accelerometer to sense a "rolling the dice" motion. You could swap in the LSM9DS1 to add more functionality -- like compass-based damage multipliers!
- Are You Okay? Widget -- Use an Electric Imp and accelerometer to create an "Are You OK" widget. A cozy piece of technology your friend or loved one can nudge to let you know they're OK from half-a-world away.
- Leap Motion Teardown -- An IMU sensor is cool, but image-based motion sensing is the future. Check out this teardown of the miniature-Kinect-like Leap Motion!
ITG-3200 Hookup Guide
Learn how to interact with the ITG-3200 Triple Axis Gyroscope.
Beginner Parts Kit Identification Guide
The essential parts for beginning (or even experienced) hobbyists that gives you all of the basic through-hole components you will need to get started playing with embedded projects. We'll identify a few parts in the kit and provide a few basic circuits to get started!
SparkFun AS3935 Lightning Detector Hookup Guide (v20)
Are you worried about the looming clouds in the distance, how far away is that storm exactly? Add lightning detection with the AS3935 to your next weather station or your next bike ride!
Programming the SparkFun Edge with Arduino
Running low-power machine learning examples on the SparkFun Edge can now be done using the familiar Arduino IDE. In this follow-up to the initial Edge tutorial, we'll look at how to get three examples up and running without the need to learn an entirely new SDK.