Exploring deception using automatically detected facial action units

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Exploring deception using automatically detected facial action units

Lie detection has always gripped mankind. Today, applications range from individual employee screening to mass terror scenarios. Yet, signs of deception are still not well understood and there is general agreement that humans are bad at detecting them. We suffer from bias and subjectivity as well as...

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Bibliographic Details
Main Author:	Vinkemeier, Doratha
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2020
Subjects:	Computer vision Affective computing Action units Emotion recognition Deception Machine learning Behavioral economics Poker Stress.
Online Access:	https://eprints.nottingham.ac.uk/63751/

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