Nowadays, facial expression recognition (FER) has drawn considerable attention from the research community in various application domains due to the recent advancement of deep learning. In the education field, facial expression recognition has the potential to evaluate students' engagement in a classroom environment, especially for deaf and…

Difficulties in processing emotional facial expressions is considered a central characteristic of children with autism spectrum condition (ASC). In addition, there is a growing interest in the use of virtual avatars capable of expressing emotions as an intervention aimed at improving the social skills of these individuals. One potential use of…

This paper presents the voice emotion recognition part of the FILTWAM framework for real-time emotion recognition in affective e-learning settings. FILTWAM (Framework for Improving Learning Through Webcams And Microphones) intends to offer timely and appropriate online feedback based upon learner's vocal intonations and facial expressions in order…