基于SIFT的远程在线教育情感识别研究  

ON EMOTION RECOGNITION FOR DISTANCE ONLINE EDUCATION BASED ON SIFT

作　　者：廖瑞华[1] 李勇帆[1] 刘琳[1] 文海英[2] 

机构地区：[1]湖南第一师范学院信息科学与工程系,湖南长沙410205 [2]湖南科技学院计算机系,湖南永州425100

出　　处：《计算机应用与软件》2010年第6期67-69,共3页Computer Applications and Software

基　　金：全国教育科学"十一五"规划教育部重点课题(DCA090321)

摘　　要：针对现代远程在线教育实践领域中的情感缺失问题,提出了一种基于人脸表情识别的尺度不变特征转换SIFT(Scale Invariance Feature Transform)情感识别算法。SIFT情感识别算法以情感计算为理论基础,以人脸面部表情识别为核心技术,通过捕捉远程学习者的面部表情,进行SIFT特征提取,来识别远程学习者的表情,从而来帮助学习者在一定程度上补偿远程学习中缺失的情感。通过SIFT特征提取算法,建立了自动情感识别流程,并通过试验验证了基于SIFT特征提取算法的远程在线教育情感识别的效果是令人满意的。In light of the absence of emotion problem in modern distance online education,a SIFT emotion recognition algorithm based on facial expression recognition is proposed.Emotion calculation acts as the theoretical basis of the algorithm,and human facial expression recognition acts as the core technology of it,distance learners＇ emotion is recognized by capturing the facial expressions of them and then executing the SIFT feature extraction,thru this way to assist the learners to be given the compensation to some extent for their absence of emotions in distance learning.Through SIFT feature extraction algorithm,an automatic emotion recognition process is established.It has been attested by the experiments that the effect of emotion recognition for distance online education based on SIFT feature extraction algorithm is satisfied.

关 键 词：情感计算 面部表情识别 SIFT特征提取 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程]