Research On The Application Effect Of Facial Emotion Recognition In Online Video Learning

In the era of "Internet plus",online learning has become the main auxiliary way for students to learn.Emotions in the learning process are considered as important data to present learners’ learning state,and affective computing is used to collect and analyze learners’ emotional state.Facial emotion recognition is an important branch of affective computing.Whether it can effectively represent the emotional state of learners in real learning environments has become a hot topic in the field of educational technology.In order to promote the application of facial emotion recognition technology in online video learning environment,it is necessary to conduct empirical research on the application effect of facial emotion recognition technology in online video learning to grasp the accuracy of its recognition effect.Therefore,research is conducted from the following four aspects:1.Construction of facial emotion recognition system in online video learning;2.Based on a facial emotion recognition system,design a data collection plan from a dual perspective of technical capture and real learning emotion research;3.Empirical research on the application effect of facial emotion recognition technology in online video learning environment.The developed facial emotion recognition system is used to collect recognition emotion data,and real emotion data is obtained through questionnaire survey and deep interview methods.Descriptive analysis,similarity analysis,visualization analysis,and other methods are used to conduct multi-dimensional comparative research on the application effect of facial emotion technology;4.Deeply analyze the causes of emotional fluctuations during online video learning,and use topic analysis methods to grasp the true causes of learners’ emotional fluctuations.Research conclusion: 1.The existing facial emotion recognition technology has a good effect on describing learners’ emotions in online video learning.2.Facial emotion recognition technology accurately identifies the generation of learners’ emotional fluctuations in online video learning,effectively identifying facial representations of learners’ emotional fluctuations.3.In online video learning,there is still a certain distance between facial emotion recognition data and real emotional information of learners,and using technology to recognize emotional data for learning evaluation needs to be considered.4.The specific practical process of integrating,processing,and analyzing facial emotion recognition data with in-depth interview content provides feasible method references for the effective application of facial recognition technology in online video learning.