Visual cues-based deception detection using two-class neural network

George, Sabu and Pai, Manohara M.M. and Pai, Radhika M and Praharaj, Samir Kumar (2019) Visual cues-based deception detection using two-class neural network. International Journal of Computational Vision and Robotics, 9 (2). pp. 132-151. ISSN 1752-9131

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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.

Item Type: Article
Uncontrolled Keywords: visual cues; AU analysis; deception detection; neural network
Subjects: Engineering > MIT Manipal > Information and Communication Technology
Depositing User: MIT Library
Date Deposited: 08 Apr 2019 08:48
Last Modified: 08 Apr 2019 08:48

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