基于虚拟学习环境中面部表情识别的情绪分析

Yongna Liu, Lirong Wang, Wanping Li
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引用次数: 14

摘要

心理学研究发现,学习者的认知活动在学习过程中受到情绪的影响,积极情绪可以促进认知活动,而消极情绪则会阻碍认知活动。情感状态可以被看作是学习思维水平的一个很强的预测指标。因此,营造一种能够识别和调节学生情绪的智能环境和氛围,对积极学习具有重要作用。在本实验室开发的三维虚拟学习环境(3DVLE) Magic Learning上进行了面部表情识别的应用,实验结果表明了该方法的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Emotion Analysis Based on Facial Expression Recognition in Virtual Learning Environment
The psychologic research find that learners' cognitive activitie had been affect by emotion in their learning process, specifically, positive emotion can promote cognitive activities, whereas negative emotion can hinder them. The affective state can be seen as a very strong predictor of thinking level in learning. Therefore, establishment of a intelligent environment and atmosphere which can recognize and adjust the emotion of students plays an important role in positive learning. Application of facial expression recognition is performed on Magic Learning which is a 3D Virtual Learning Environment (3DVLE) developed by our laboratory and experimental results suggest that our method is feasible and effective.
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