Advances and Application of Facial Expression and Learning Emotion Recognition in Classroom

Abstract

The facial expressions of students in the class are one of the most direct and effective ways to reflect the emotional investment of learning. Driven by a new generation of artificial intelligence technology, facial expression recognition in classroom and learning emotion analysis based on video image comprehension has become a hot topic in the field of Wisdom Education. In the wisdom classroom environment, the emotional state of the students in classroom can be effectively recognized and perceived through facial expression recognition technology, so as to capture the emotional input of the students in the classroom in real-time. This provides an effective means to achieve differentiating instruction, personalized learning, and accurate teaching decision-making. Based on a large number of frontier research and recent achievements on domestic and overseas, this paper makes a comprehensive review of the technology of facial recognition and the study of emotional analysis in classroom. Firstly, the classification of students' expressions and the construction of the database are summarized and analyzed. Secondly, this paper summarizes the research status, key points, and development trend of class facial recognition technology based on deep learning in ideal and non-ideal scenarios. Thirdly, based on the classical emotion analysis model, the typical application of emotion analysis based on students' facial recognition is discussed in detail. Finally, this paper summarizes the current challenges and future research directions of emotion recognition technology and learning emotion analysis in classroom. It provides references and guidance for the research in this field.