Pre-trained Deep Learning Models for Facial Emotions Recognition

The present study is devoted to a comparative analysis of known pre-trained models of deep learning neural networks used to facial emotions recognition. The aim of the study is to select appropriate lightweight models to be used for offline facial emotions recognition of the students during their semestrial learning. The basic facial emotions can be grouped as positive (happiness and surprise), neutral, and negative (fear, anger, sadness and disgust). Based on these three groups of emotions corrective actions by adapting and personalizing the lecture material are undertaken.