Pattern Variation Method to Detect Lie Using Artificial Neural Network (PVMANN)

Authors

  • Chakraborty S Sri Guru Vidyamandir, Champasari, Siliguri, West Bengal
  • Mandal RK Dept of Computer Science & Application, University of North Bengal, Raja Rammohunpur, Dist Darjeeling, West Bengal

Keywords:

Lie detection, Artificial Neural Network (ANN), Pattern, Perceptron, Segmentation

Abstract

This beautiful world is a collection of variety of people. They have different sort of mind. Some people always speak the truth. Some hardly have the habits to tell the truth. If a person is guilty then he or she must try to save him or herself and conceal his or her sin. If a system can be designed to detect lie then a genuine and trusty counseling can be done for the establishment of the truth. This paper contains an algorithm PVMANN which makes a gateway to detect a person’s truthfulness.

References

. L. Fausett, “Fundamentals of Neural Networks, Architectures, Algorithms and Applications”, Pearson Education, India, 2009.

. Mic Hanlon, Mathematician at Manchestar Metropolitan University, Polygraphic Lie Detecting Technique.

(www.gizmag.com/go/1735/)

. Patrick Kennedy, School of Professional Development

(www3.imperial.ac.uk/newsandeventspggrp/imperialcollege/newssummary/news_10-3-2014-15-20-12)

. Mark Williams Pontin, contributing editor to Technology Review –

(www.technologyreview.com/review/413133/lie-detection/page/1/)

. Saxe L, (1991), Lying, American Psychologist, “Thoughts of an applied social psychologist.” 46(4): 409-15. American Psychological Association, August 5, 2004.

. John P. Clark and Larry L. Tifft, “American Sociological Review”, Vol. 31, No. 4 (Aug. 1966), pp. 516-523.

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Published

2025-11-11

How to Cite

[1]
S. Chakraborty and R. K. Mandal, “Pattern Variation Method to Detect Lie Using Artificial Neural Network (PVMANN)”, Int. J. Comp. Sci. Eng., vol. 4, no. 1, pp. 57–60, Nov. 2025.

Issue

Vol. 4 No. 1 (2016): IJCSE Special Issue February Edition

Section

Research Article

License

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