Research on Academic Confusion State Recognition Based on Facial Expression in Online Learning Environment

• In Event: AERA Poster Session 14
  In Poster Session: Advanced Technology and Learning Poster Session

Abstract

Online-Learning is currently an important trend in the development of international education, but the separation of space between students and instructors make learners’ academic emotions correspondingly change during study sessions. Academic emotions have a great influence on the learning effect. Based on the state of academic confusion in online learning, this study has conducted a lot of research on the automatic recognition of academic confusion. Due to the lack of training samples for the classification algorithm, an academic confusion expression database in online learning environment was established in this paper, and the two feature extraction algorithms HOG and LBP were used to verify the data in the database based on SVM, and an ideal recognition rate was obtained.

Authors

• ya zhang, Ocean university of China

• lijiao yue, East China Normal University

• Jing Xiao, University College London

• Xuefei Ding, East China Normal University