FEAIS: Facial Emotion Recognition Enabled Education Aids IoT System for Online Learning

With the rapid development of big data analytics and the Internet of Things (IoT) technology, online learning becomes more and more prevalent. To improve the quality of online learning and help teachers better understand the students' learning state, this paper proposes a Facial Emotion Recognition (FER) Enabled Education Aids IoT System, named FEAIS. By deploying a well-trained FER model on the remote server, FEAIS can provide instant feedback on students' learning state by collecting their facial pictures through IoT devices like cameras or vision sensors and making recognization on their emotion. Utilizing this information, teachers can adjust their teaching progress to ensure that everyone could catch up. The experimental results demonstrate that the FEAIS can accurately recognize students' emotion and give teachers precise feedback automatically, even if the images captured by IoT devices are occluded or deformed.