Arduino tutorial: using Arduino Nano RP2040 with our new LSM6DSOX inertial sensor with embedded AI

In this tutorial created for the Arduino community, we tell you about our new LSM6DSOX iNEMO inertial module for ultra low-power applications, available on the Arduino Nano RP2040 board, featuring a 3D digital accelerometer and a 3D digital gyroscope.

We explain how you can leverage the embedded machine learning core (MLC) to easily implement scenario detection with low power consumption and reduced MCU load.

To get started with the Arduino Nano RP2040 board, visit: https://www.st.com/en/partner-product...

To learn more about LSM6DSOX, explore our dedicated product page: https://www.st.com/lsm6dsox

Find even more information and resources created by Arduino: https://bit.ly/ArduinoCore-MLC

#mems #mlc #ai

CHAPTERS
0:00 Intro
0:38 Introducing the Arduino Nano RP2040 board with LSM6DSOX
1:14 Introducing the MLC and its benefits
2:00 Decision tree AI algorithm
2:38 Decision tree model example
4:48 Workflow
5:37 Configuring data acquisition in the Arduino IDE
7:34 Data acquisition
8:13 Creating the decision tree model with Unico GUI
13:05 Embedding and running the decision tree model
14:36 Decision tree model in action
15:15 How much power did we save
16:00 Useful resources

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