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Towards an Integration of Workflows and Clinical Guidelines: A Case Study Read chapter Read first chapter

2016 | OriginalPaper | Chapter

In Search of Truth: Analysis of Smile Intensity Dynamics to Detect Deception

Authors : Michal Kawulok, Jakub Nalepa, Karolina Nurzynska, Bogdan Smolka

Published in: Advances in Artificial Intelligence - IBERAMIA 2016

Publisher: Springer International Publishing

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Abstract

Detection of deceptive facial expressions, including estimating smile genuineness, is an important and challenging research topic that draws increasing attention from the computer vision and pattern recognition community. The state-of-the-art methods require localizing a number of facial landmarks to extract sophisticated facial characteristics. In this paper, we explore how to exploit fast smile intensity detectors to extract temporal features. This allows for real-time discrimination between posed and spontaneous expressions at the early smile onset phase. We report the results of experimental validation, which indicate high competitiveness of our method for the UvA-NEMO benchmark database.

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Footnotes
1
This appears not trivial for patients with mental disorders, e.g., schizophrenia [1].
 
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Metadata
Title
In Search of Truth: Analysis of Smile Intensity Dynamics to Detect Deception
Authors
Michal Kawulok
Jakub Nalepa
Karolina Nurzynska
Bogdan Smolka
Copyright Year
2016
Book
Advances in Artificial Intelligence - IBERAMIA 2016

Print ISBN: 978-3-319-47954-5

Electronic ISBN: 978-3-319-47955-2

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-47955-2_27

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