兵工自动化2024，Vol.43Issue(9)：36-39,4.DOI:10.7690/bgzdh.2024.09.009
基于CNN的在线多媒体英语教学情感交互研究
A Study of Emotional Interaction in Online Multimedia English Teaching Based on CNN
梁珊1
作者信息
- 1. 陕西交通职业技术学院教务处,西安 710000
- 折叠
摘要
Abstract
In order to solve the problem of emotion absence in multimedia English teaching,an intelligent network teaching system model based on facial expression recognition is proposed.Principal component analysis(PCA)is applied to extract the important feature frames of facial expressions in online learner videos;the facial emotion recognition network based on CNN architecture judges and understands the emotional state of the learner,and gives corresponding emotional encouragement or emotional compensation strategies according to the specific emotional state of the learner.Simulation results show that the average detection rate of the proposed algorithm is 78.28%,and the average recognition accuracy is 81.78%,compared with VGG16 and ResNet50.关键词
多媒体英语教学/情感/人脸表情识别/卷积神经网络Key words
multimedia english teaching/emotion/facial expression recognition/convolutional neural network分类
信息技术与安全科学引用本文复制引用
梁珊..基于CNN的在线多媒体英语教学情感交互研究[J].兵工自动化,2024,43(9):36-39,4.
