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http://dx.doi.org/10.22937/IJCSNS.2022.22.7.20

Lie Detection Technique using Video from the Ratio of Change in the Appearance  

Hossain, S.M. Emdad (Department of Information Systems, University of Nizwa)
Fageeri, Sallam Osman (Department of Information Systems, University of Nizwa)
Soosaimanickam, Arockiasamy (Department of Information Systems, University of Nizwa)
Kausar, Mohammad Abu (Department of Information Systems, University of Nizwa)
Said, Aiman Moyaid (Department of Information Systems, University of Nizwa)
Publication Information
International Journal of Computer Science & Network Security / v.22, no.7, 2022 , pp. 165-170 More about this Journal
Abstract
Lying is nuisance to all, and all liars knows it is nuisance but still keep on lying. Sometime people are in confusion how to escape from or how to detect the liar when they lie. In this research we are aiming to establish a dynamic platform to identify liar by using video analysis especially by calculating the ratio of changes in their appearance when they lie. The platform will be developed using a machine learning algorithm along with the dynamic classifier to classify the liar. For the experimental analysis the dataset to be processed in two dimensions (people lying and people tell truth). Both parameter of facial appearance will be stored for future identification. Similarly, there will be standard parameter to be built for true speaker and liar. We hope this standard parameter will be able to diagnosed a liar without a pre-captured data.
Keywords
Nuisance; Liar; Detection; Escape; Parameter; LDA; kNN; MLP;
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