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Thought this was cool: 微笑识别

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论文:Exploring Temporal Patterns in Classifying Frustrated and Delighted Smiles

Is there a difference between while people smile under frustration as opposed to being genuinely delighted? How do the classifiers perform on recognizing mental states such as frustration and delighted when acted, as well as when elicited? What can we infer from the results about data collected through natural means as opposed to asking people to act? How do humans perform in correctly labeling smiles elicited under frustrated and genuinely delighted? Can we develop automated systems to distinguish between frustrated smiles and delighted smiles that perform better or as good as their human counterpart? This paper attempts to answer all these questions through a series of studies.

Publications:

M. E. Hoque, D. J. McDuff, R. W Picard, Exploring Temporal Patterns towards Classifying Frustrated and Delighted SmilesIEEE Transactions on Affective Computing, 2011. [under review]

M. E. Hoque, R. W. Picard, Acted vs. natural frustration and delight: Many people smile in natural frustration9th IEEE International Conference on Automatic Face and Gesture Recognition (FG’11), Santa Barbara, CA, USA, March 2011. (PDF: 1693 KB)

Press:

Specs that see right through you, by Sally Adee, NewScientist, July 5, 2011.

新闻来自:36kr

计算机面部识别技术虽然在近年并未获得突破性成果,但MIT的研究者还是在这方面取得一些不错成绩,他们最新开发的技术甚至能够判断微笑背后的真实情感。

研究人员最初让实验者表现出高兴与沮丧的表情,并使用两个摄像头记录图像。然后再让计算机算法与普通人同时对记录的表情进行情绪判断,两者都能基本判别。再让本来就快乐的人与本来遭受了挫折的人都露出微笑表情时,人类通过笑容判别情绪的准确率过半,而MIT的计算机算法的差别准确率却能超过90%。

研究人员希望该技术能更好地帮助那些理解人类表情有困难的人。同时,它在商业方面也有着较大潜力,因为他们认为:“顾客对你微笑,表达的不一定就是满意,笑容背后的含义很重要。”

最热文章

from 丕子: http://www.zhizhihu.com/html/y2012/3805.html

Written by cwyalpha

五月 31, 2012 在 4:09 下午

发表在 Uncategorized

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