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
