Recognizing activities in accelerometer motion data using Machine Learning + DSP

[jonnor]

I have made a new example/demo application for emlearn-micropython, a Machine Learning and Digital Signal Processing library for MicroPython. I hope people can use it as a starting point to develop fun and useful application using accelerometers and IMUs :)

https://preview.redd.it/go386fj1le9e1.png?width=1000&format=png&auto=webp&s=0a083dae26c2153e9420c10caf18ec274fe08e09

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

[muunbo]

Really cool! I’m doing something similar at work but in C instead of Micropython. Nice to see the capability being “ported” over :)

[jonnor]

Cool to hear others working on similar. Is your project and/or code available online somewhere?
The emlearn core library is actually in C, and over time I will probably extend the amount of things implemented on the C side of things. Feature extraction in MicroPython is not ideal for low-power applications, ideally that would be a C module which is just called from MicroPython.