Skip to main content
Associate
January 10, 2025
Question

LSM6dSOX_MLC

  • January 10, 2025
  • 2 replies
  • 698 views

Hi All,

I am currently working on a health tracker/monitor project that utilizes the LSM6DSOX sensor, interfaced with the nRF5340 platform and running Zephyr. So far, I have successfully implemented tilt and tap detection features.As the next step in the development process, I aim to integrate an activity state monitoring feature (e.g., detecting walking, running, or stationary states). To achieve this, I plan to leverage the Machine Learning Core (MLC) of the LSM6DSOX sensor. However, as I am new to MLC, I would greatly appreciate any guidance or resources that can assist me in understanding how to effectively use it and integrate it into my existing code.

Best regards,
Ilam

2 replies

Federica Bossi
Technical Moderator
January 13, 2025

Hi @Ilamparithi ,

You can look at AN5259 about machine learning core in LSM6DSOX.

And also you can find examples on our Github.

Hope this helps :)

In order to give better visibility on the answered topics, please click on 'Accept as Solution' on the reply which solved your issue or answered your question.
Associate
April 11, 2025

Hi @Federica Bossi,
I got sample MLC algorithm from Git and other sources from online . I have a doubt on how to integrate those with the existing application firmware. Can you please give me step by step instructions on this, which would be very much useful.
Thanks and regards,
Ilamparithi