Classifying emotions and engagement in online learning based on a single facial expression recognition neural network

2 code implementations • IEEE Transactions on Affective Computing 2022 • Savchenko A.V., Savchenko L.V., Makarov I

It is shown that the resulting facial features can be used for fast simultaneous prediction of students’ engagement levels (from disengaged to highly engaged), individual emotions (happy, sad, etc.,) and group-level affect (positive, neutral or negative).

Efficient Neural Network Emotion Recognition +4