Classifying pretended and evoked facial expressions of positive and negative affective states using infrared measurement of skin temperature

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Classifying pretended and evoked facial expressions of positive and negative affective states using infrared measurement of skin temperature

Earlier researchers were able to extract the transient facial thermal features from thermal infrared images (TIRIs) to make binary distinctions between the expressions of affective states. However, effective human-computer interaction would require machines to distinguish between the subtle facial e...

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Bibliographic Details
Main Authors:	Khan, Masood Mehmood, Ward, R. D., Ingleby, M.
Format:	Journal Article
Published:	Association of Computing Machinery (ACM) 2009
Online Access:	http://doi.acm.org/10.1145/1462055.1462061 http://hdl.handle.net/20.500.11937/44186

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