Thermal imaging for affect detection

Verónica Pérez-Rosas,Alexis Narvaez,Mihai Burzo,Rada Mihalcea

PETRA '13: Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments（2013）

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摘要

In this paper, we explore a thermal imaging approach to sensing affective state. Using features extracted from a thermal map of the face, obtained from a dataset consisting of 70 recordings of positive, negative, or neutral states, we show that we can effectively predict the presence of affect, with an error reduction of up to 50% as compared to a majority class baseline.

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关键词

majority class baseline,affect detection,thermal map,neutral state,affective state,error reduction,thermal imaging approach

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