CUBE-MX

[jayz]

Hi,

[JNord]

Hi JayZ.

The FP-SENSING-AI1 package contains example code for classifying accelerometer using a neural network.

https://www.st.com/en/embedded-software/fp-ai-sensing1.html

The example code runs directly on the SensorTile hardware, so that is the easiest way to get started. You can use the Sdcard or USB to a computer to collect your training data.

https://www.st.com/content/st_com/en/products/evaluation-tools/solution-evaluation-tools/sensor-solution-eval-boards/steval-stlkt01v1.html

For your first model, you can try to reuse the basic HAR model included in FP-AI-SENSING1. In general, a CNN or recurrent (LSTM,GRU) model is commonly used for these kinds of problems.

Also check this nice tutorial with some example data, https://developer.ibm.com/tutorials/iot-deep-learning-anomaly-detection-5/

Cheers,

Jon Nordby

Machine Learning Engineer & Independent Consultant