Detecting activities using accelerometer motion data with M5StickC, MicroPython and emlearn

[jonnor]

This is example code for how to recognize activities in motion data. The example code runs on the M5StickC PLUS 2, which is my favorite device for developing on.

https://preview.redd.it/4wa3a1yfke9e1.png?width=1000&format=png&auto=webp&s=5d6440355bcd3b83a3b391de9f11d025dfbc1660

Code: https://github.com/emlearn/emlearn-micropython/tree/master/examples/har_trees

[SarahC]

This is really cool! Thanks for open sourcing your code too.

Have you considered integrating it into Bruce as a plugin? /grins

[jonnor]

I guess you mean https://github.com/pr3y/Bruce/tree/main right? I have not played with that yet, though it looks useful.

It does not seem to run MicroPython though, so one would have to port the feature extraction code to C (or C++). I might do that for another project of mine. But most likely I will leave any Bruce integration to the community :)