The attached lab guide walks through step-by-step how to use the new Application Software Pack for the ML-based System State Monitor found on Github.
This is related to AN13562 - Building and Benchmarking Deep Learning Models for Smart Sensing Appliances on MCUs
This lab guide was written for FRDM-MCXN947 but the application software pack also supports RT1170, LPC55S69 and Kinetis K66F devices. It can also be ported to other MCX, i.MX RT, LPC, and Kinetis devices.
There's also a document on Dataset creation that goes into more detail on the considerations to make when gathering data. For more details visit the ML-based System State Monitor website on NXP.com
The lab uses the FXLS8974CF accelerometer found on the ACCEL 4 Click board or the FRDM-STBI-A8974 board. The FXLS8974CF is the latest accelerometer from NXP and is what is recommended to use.
The video below walks through the steps for the FRDM-STBC-AGM01 but there may be updated details in the lab guide so follow the lab guide if there is any differences.
