基于人脸表情识别的智能网络教学系统研究  

Facial Expressing Recognition Based Research on Intelligent Network Teaching System

作　　者：冯满堂[1,2] 马青玉[1] 王瑞杰[3] 

机构地区：[1]南京师范大学物理科学与技术学院,江苏南京210097 [2]南京市莫愁中等专业学校计算机教研组,江苏南京210017 [3]南京师范大学教育技术系,江苏南京210097

出　　处：《计算机技术与发展》2011年第6期193-196,200,共5页Computer Technology and Development

基　　金：国家自然科学基金(10974098);江苏省自然科学基金(BK2009407);博士点基金(20093207120003)

摘　　要：针对传统智能网络教学系统中存在情感缺失的问题,探索性地设计并提出了一种基于人脸表情识别的智能网络教学系统模型。该模型以教育心理学为理论基础,以人脸面部表情识别为关键技术,通过捕捉和识别学习者的表情,判断和理解其情绪状态,然后根据学习者特定的情绪状态给出相应的情感鼓励或情感补偿。该系统模型促进了人机和谐交互,从一定程度上补偿了网络教育中的情感缺失,为解决网络教育中的情感缺失并实现和谐人机情感交互做出了有益的基础性工作。To overcome the deficiency of emotion absence in traditional network education system,an intelligent network teaching system model based on facial expressing recognition is proposed.Based on the foundation of educational psychology and key technology of facial expression,the model comprehends the emotion states of the learner through the expression capture and recognition,and the corresponding affective encouragement and compensation strategies are put forward according to the emotion states.The proposed intelligent network teaching system model promotes human-computer interaction reduces the emotion absence and makes the favorable work for the emotion absence solution and the harmonious human-computer interaction realization in network education.

关 键 词：情感计算 情感建模 网络教育 情感缺失 

分 类 号：G434[文化科学—教育学]