Research on the Design of an Online Learning Guidance System Based on Micro-Expression Recognition
The deep learning algorithm was used to identify various micro-expressions of online learn-ing states,that is,6 emotional states with high intensity in online learning were selected,the convolutional neural network model of deep learning was designed and trained,and the accuracy of 6 emotional states was tested.The results show that the neural network model based on deep learning has high accuracy and short response time for emotion recognition related to learning process,and can reflect the change of on-line learners'emotional state in real time.Further,it can be combined with big data technology to establish learning evaluation and feedback mechanism,optimize teaching process,and improve learning efficiency of learners.