Implementation of neural network classifier for assessing human emotional state

This article continues the authors’ research in the field of human-machine interaction. The work addresses the problem of recognizing the human emotional state in the process of labor activity. Using Deep-Face, software for identifying and classifying emotions is implemented. The approbation of the software has shown the possibility of its implementation for the human functional state identification.