I. Introduction
To develop effective analytical models for Facial Emotion Recognition (FER), researchers are exploring methods to replicate strategies that optimize algorithm performance. Wavelet scattering networks, in particular, enable the extraction of low-variance features from image data with minimal configuration, enhancing machine learning and deep learning applications.