Adafruit
Adafruit LSM6DSOX + LIS3MDL FeatherWing - Precision 9-DoF IMU
The Adafruit LSM6DSOX + LIS3MDL FeatherWing is a precision 9 Degree of Freedom (9-DoF) IMU add-on for any Feather board. It combines the LSM6DSOX acceleromet...
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The Adafruit LSM6DSOX + LIS3MDL FeatherWing is a precision 9 Degree of Freedom (9-DoF) IMU add-on for any Feather board. It combines the LSM6DSOX accelerometer/gyroscope — known for its exceptionally low gyro drift and noise — with the LIS3MDL magnetometer for complete orientation and heading sensing.
The LSM6DSOX offers significantly better performance than older sensors like the MPU6050 or LSM6DS33, making it excellent for orientation fusion applications. It also includes built-in tap detection, activity detection, a pedometer, and a programmable finite state machine with machine learning core. Both sensors communicate over the shared I2C bus, with interrupt pins and address-selection jumpers broken out for advanced configurations.
Key Features
- Triple-Axis Accelerometer – ±2g/±4g/±8g/±16g at 1.6 Hz to 6.7 kHz (LSM6DSOX)
- Triple-Axis Gyroscope – ±125/±250/±500/±1000/±2000 dps at 12.5 Hz to 6.7 kHz, with very low zero-rate drift
- Triple-Axis Magnetometer – Magnetic north detection for compass heading (LIS3MDL)
- Built-in Intelligence – Tap detection, activity detection, pedometer, and ML core for gesture recognition
- STEMMA QT Connector – Daisy-chain additional I2C sensors without soldering
- FeatherWing Form Factor – Stacks onto any Feather board via shared I2C bus
- Address Jumpers – Configurable I2C addresses to avoid conflicts or use multiple boards
- Arduino & CircuitPython Libraries – Full driver support with example code
Ideal For
- Precision orientation fusion (AHRS) with minimal drift
- Robotics navigation and attitude control
- Activity tracking and gesture recognition
- Adding 9-DoF motion sensing to any Feather project
Package Contents
- 1× Adafruit LSM6DSOX + LIS3MDL 9-DoF FeatherWing (assembled and tested)
- 1× Strip of 0.1" header pins
Resources
Jargon buster
Plain-language definitions for the technical terms used above.
- Address jumpers
- Address jumpers are small solder pads, links or switches used to change a device's address on a shared bus such as I2C. They matter when you want to connect several identical devices to the same controller, since each one needs a unique address to avoid conflicts.
- CircuitPython
- A beginner-friendly version of Python designed to run directly on microcontroller boards. If a product supports CircuitPython, you can often program it by copying code files onto the board rather than setting up a more complex toolchain.
- FeatherWing
- A FeatherWing is an add-on board made to plug into the Feather microcontroller board layout. Knowing a product is a FeatherWing helps you check whether it will physically and electrically fit your Feather-style mainboard.
- Gyroscope
- A gyroscope measures rotation, such as how fast a board is turning around its X, Y, and Z axes. This matters for projects like gesture controls, balancing robots, and motion tracking where tilt or rotation changes need to be detected.
- I2C
- I2C is a two-wire communication bus used by many sensors and small modules. It matters because several I2C devices can share the same two wires, but each device needs a compatible address and your controller must support I2C.
- IMU
- An IMU (Inertial Measurement Unit) combines motion sensors, typically an accelerometer and gyroscope and sometimes a magnetometer, to measure movement and orientation. It can sense motion, tilt, vibration, rotation, and changes in direction, which is useful for tasks such as navigation, stabilisation, gesture detection, and asset tracking.
- magnetometer
- A sensor that measures magnetic fields, often used to work out compass direction. It matters because nearby magnets, motors, or metal objects can affect readings and may require calibration.
- STEMMA QT
- A small plug-in connector system for I2C boards that lets you connect compatible sensors and controllers without soldering. It matters because it can make wiring faster and less error-prone, especially when adding several small modules to a project.
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Sensors & Input
adafruit sensorlab gyroscope calibration
Document · 2.4 MB · Click any page to view full size
4503 LSM6DS3TR C datasheet
Datasheet · 1.5 MB · Click any page to view full size
introducing adafruit stemma qt
Document · 1.5 MB · Click any page to view full size
how to fuse motion sensor data into ahrs orientation euler quaternions
Document · 1.5 MB · Click any page to view full size
Resources & Downloads
Guides, code examples, and more
adafruit sensorlab gyroscope calibration
Document · MD · 26.9 KB
llms
Document · TXT · 13.6 KB
introducing adafruit stemma qt
Document · MD · 22.3 KB
how to fuse motion sensor data into ahrs orientation euler quaternions
Document · MD · 31.9 KB
llms
Document · TXT · 13.6 KB
llms
Document · TXT · 13.6 KB
Related Tutorials
Free guides on learn.littlebird.com.au
