Image-based Facial Emotion Recognition Using Convolutional Neural Network On Emognition Dataset

This article discusses the evolution of research in Facial Expression Recognition (FER) and the use of various datasets and methodologies. The Emognition dataset, which includes ten distinct emotions and captures physiological signals, is introduced as a more comprehensive and complex dataset for FER research. The article also highlights the limitations of previous datasets and the potential for further advancements in FER research.