2025-01-10 2:49 AM
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
2025-01-13 1:18 AM - edited 2025-01-13 1:19 AM
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 :)
2025-04-11 2:31 AM
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