Open Access   Article Go Back

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.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

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.