I’m a beginner in AI and I’m currently working on a project to build a gesture recognition model using data from an AMG8833 sensor.
I’ve successfully trained a model that performs reasonably well in the Edge Impulse studio. It also works as expected during “Live classification” with real-time data.
My next step was to deploy it. I generated an int8 quantized library using the EON Compiler and chose the CubeMX CMSIS-PACK option. I followed the official guide (Run Cube.MX CMSIS-Pack - Edge Impulse Documentation) to deploy the model to my STM32F407 board.
To test the deployed model, I copied a raw data sample from my test set (specifically, one with the label “PutIn”) and pasted it into the features[] array in the code, as instructed.
However, the serial output consistently shows the “idle” class with a confidence of over 0.9. I have also tested this with samples from other classes, and the result is always the same—it classifies everything as “idle” with high confidence.
My project ID is #705203
Any help or guidance would be greatly appreciated.