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Study on e-learning system model based on affective computing

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成果类型:
期刊论文
作者:
Zhu Aiqin*;Qi Luo
通讯作者:
Zhu Aiqin
作者机构:
[Zhu Aiqin] Cent China Normal Univ, Coll Urbanand Environm Sci, Wuhan, Peoples R China.
[Qi Luo] Wuhan Univ Sci & Technol, Zhongnan Branch, Informat Engn Sch, Wuhan, Peoples R China.
通讯机构:
[Zhu Aiqin] C
Cent China Normal Univ, Coll Urbanand Environm Sci, Wuhan, Peoples R China.
语种:
英文
关键词:
emotion deficiency;teaching strategies;affective computing;rough set
期刊:
2006 INTERNATIONAL CONFERENCE ON INFORMATION AND AUTOMATION
年:
2007
页码:
245-+
机构署名:
本校为第一且通讯机构
院系归属:
城市与环境科学学院
摘要:
Aiming at emotion deficiency in present E-Learning system, a lot of negative effects were analyzed and corresponding countermeasures were proposed. Basing on it, we combined affective computing with the traditional E-Learning system. The model of E-Learning system. based on affective computing was constructed by using audiovisual emotion, which took both facial and audio features as input data. Our simulation experiment results showed that rough set theory was effective in emotion recognition, and a high recognition rate is resulted Besides, other key techniques of realizing the system such as...

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