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

Shantanu Chakraborty1 , Rakesh Kumar Mandal2

Section:Research Paper, Product Type: Conference Paper
Volume-04 , Issue-01 , Page no. 57-60, Feb-2016

Online published on Feb 26, 2016

Copyright © Shantanu Chakraborty, Rakesh Kumar Mandal . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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How to Cite this Paper

IEEE Style Citation: Shantanu Chakraborty, Rakesh Kumar Mandal, “Pattern Variation Method to Detect Lie Using Artificial Neural Network (PVMANN),” International Journal of Computer Sciences and Engineering, Vol.04, Issue.01, pp.57-60, 2016.

MLA Style Citation: Shantanu Chakraborty, Rakesh Kumar Mandal "Pattern Variation Method to Detect Lie Using Artificial Neural Network (PVMANN)." International Journal of Computer Sciences and Engineering 04.01 (2016): 57-60.

APA Style Citation: Shantanu Chakraborty, Rakesh Kumar Mandal, (2016). Pattern Variation Method to Detect Lie Using Artificial Neural Network (PVMANN). International Journal of Computer Sciences and Engineering, 04(01), 57-60.

BibTex Style Citation:
@article{Chakraborty_2016,
author = {Shantanu Chakraborty, Rakesh Kumar Mandal},
title = {Pattern Variation Method to Detect Lie Using Artificial Neural Network (PVMANN)},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2016},
volume = {04},
Issue = {01},
month = {2},
year = {2016},
issn = {2347-2693},
pages = {57-60},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=33},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=33
TI - Pattern Variation Method to Detect Lie Using Artificial Neural Network (PVMANN)
T2 - International Journal of Computer Sciences and Engineering
AU - Shantanu Chakraborty, Rakesh Kumar Mandal
PY - 2016
DA - 2016/02/26
PB - IJCSE, Indore, INDIA
SP - 57-60
IS - 01
VL - 04
SN - 2347-2693
ER -

           

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.

Key-Words / Index Term

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

References

[1]. L. Fausett, “Fundamentals of Neural Networks, Architectures, Algorithms and Applications”, Pearson Education, India, 2009.
[2]. Mic Hanlon, Mathematician at Manchestar Metropolitan University, Polygraphic Lie Detecting Technique.
(www.gizmag.com/go/1735/)
[3]. Patrick Kennedy, School of Professional Development
(www3.imperial.ac.uk/newsandeventspggrp/imperialcollege/newssummary/news_10-3-2014-15-20-12)
[4]. Mark Williams Pontin, contributing editor to Technology Review –
(www.technologyreview.com/review/413133/lie-detection/page/1/)
[5]. Saxe L, (1991), Lying, American Psychologist, “Thoughts of an applied social psychologist.” 46(4): 409-15. American Psychological Association, August 5, 2004.
[6]. John P. Clark and Larry L. Tifft, “American Sociological Review”, Vol. 31, No. 4 (Aug. 1966), pp. 516-523.