*3.3. Embedded System Results*

In this section, the results obtained from the embedded models running in a low power STM32L476RG board are presented. Three aspects were analysed in relation to the embedded device performance. First, we assessed the accuracy of the C-compiled model obtained with CUBE-AI package extension. Second, we estimated the inference time, that is, the execution times obtained when the embedded model classifies a sample. Finally, we calculated the consumption of the device for the two scenarios established in the Methods section, that is, when the device has the integrated ANN model and when it only sends the data to an external computer with higher computing performance and less power usage limitations.
