A New Approach for Lie Detection Using Non-Linear and Dynamic Analysis of Video-Based Eye Movement
Publish Year: 1401
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
RSACONG02_074
تاریخ نمایه سازی: 20 مهر 1401
Abstract:
Purpose: The aim of this study was to evaluate a Lie-Detection System by a Non-Linear Analysis of Video-Based Eye Movement.Method: The Physiological Signals, as well as Video-Based Eye Movement in Horizontal and Vertical Channels, were Recorded Based on a Control Question Test (CQT). The Dynamics of Eye Movement Signals were Then Analyzed By Recurrence Quantification Analysis (RQA). Statistical Analysis was Performed By ANOVA and Linear Discriminate Analysis (LDA).Results: In this study, ۴۰ Subjects Participated. The Statistical Analysis Results of Vertical Eye Movement Indicated That ENT Measures Increased Significantly for Relevant Question in Comparison to Other Questions. Moreover, A Significant Increase was Observed in all RQA Parameters Except Lmax and DET for Horizontal Eye Movement. The Results of LDA Using Psychophysiology Features. The Accuracy Percentage of ۷۸.۴% and ۸۱.۸۶% were Obtained For Lie Detection Using Physiological Signals and Optimal RQA Parameters of Video-Based Eye Movements, Respectively.Conclusions: The Accuracy of Lie Detection By Significant RQA Parameters was more Than the Accuracy of Physiologist Signals. So, The Results of This Study Illustrate That the Dynamic Recommended as a Useful Method in Lie Detection.
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Authors
Mohammad Amin Younesi Heravi
Department of Medical Physics and Radiology, Faculty of Medicine, North Khorasan University of Medical Sciences, Bojnurd, Iran
Morteza Pishgadam
Department of Medical Physics and Radiology, Faculty of Medicine, North Khorasan University of Medical Sciences, Bojnurd, Iran
Emad Khoshdel
Student Research Committee, Gonabad University of Medical Sciences, Gonabad, Iran