Abstract

The deception detection technique which helps to analyse a person without his knowledge is convenient and effective than other methods of deception detection. In this paper, facial visual cues-based deception detection study is performed. In this study, an experiment was conducted with the participation of 62 subjects. Facial muscle variations of lie and truth responses of the subjects were recorded using a high speed camera and the corresponding action units (AUs) were trained and then tested for truth and lie prediction using two-class neural network. The prediction performance was analysed using five different sets each having 10%, 20% and 30% test samples.

Original languageEnglish
Pages (from-to)132-151
Number of pages20
JournalInternational Journal of Computational Vision and Robotics
Volume9
Issue number2
DOIs
Publication statusPublished - 01-01-2019

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Neural networks
High speed cameras
Muscle
Experiments

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Computer Science Applications

Cite this

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title = "Visual cues-based deception detection using two-class neural network",
abstract = "The deception detection technique which helps to analyse a person without his knowledge is convenient and effective than other methods of deception detection. In this paper, facial visual cues-based deception detection study is performed. In this study, an experiment was conducted with the participation of 62 subjects. Facial muscle variations of lie and truth responses of the subjects were recorded using a high speed camera and the corresponding action units (AUs) were trained and then tested for truth and lie prediction using two-class neural network. The prediction performance was analysed using five different sets each having 10{\%}, 20{\%} and 30{\%} test samples.",
author = "Sabu George and {Manohara Pai}, {M. M.} and Pai, {Radhika M.} and Praharaj, {Samir Kumar}",
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