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

  • Michal Kawulok
  • Jakub Nalepa
  • Karolina Nurzynska
  • Bogdan Smolka
Conference paper

DOI: 10.1007/978-3-319-47955-2_27

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10022)
Cite this paper as:
Kawulok M., Nalepa J., Nurzynska K., Smolka B. (2016) In Search of Truth: Analysis of Smile Intensity Dynamics to Detect Deception. In: Montes y Gómez M., Escalante H., Segura A., Murillo J. (eds) Advances in Artificial Intelligence - IBERAMIA 2016. IBERAMIA 2016. Lecture Notes in Computer Science, vol 10022. Springer, Cham

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.

Keywords

Affective computing Face analysis Facial expressions Smile genuineness Deception detection Support vector machines 

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Michal Kawulok
    • 1
  • Jakub Nalepa
    • 1
  • Karolina Nurzynska
    • 1
  • Bogdan Smolka
    • 1
  1. 1.Silesian University of TechnologyGliwicePoland

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