UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 5
May-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2105529


Registration ID:
309527

Page Number

d999-d1011

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Title

Lie Detection Using Facial Analysis, Electrodermal Activity, Pulse and Temperature

Abstract

The paper describes a system based on lie detection named “Lie Detection Using Facial Analysis, Electrodermal Activity, Pulse and Temperature”. Detecting lies plays a vital role in many areas, such as airport security, police investigations, counter-terrorism, etc. The system uses four parameters for detecting a lie such as facial gestures using the 68 point facial landmark, pulse and temperature sensing and electrodermal activity using the galvanic skin response i.e. GSR. The traditional method of lie detection is by using heart pulse of the convict which is not that reliable as the convict might be able to manipulate his heart pulse to avoid lie detection. The other technique to detect lies is through the identification of facial micro-expressions, which are brief, involuntary expressions shown on the face of humans when they are trying to conceal or repress emotions. Along with the pulse detection and facial analysis, the system also includes the electrodermal activity which helps to get more accuracy while testing the convict. When a set of targeted question in line with the investigation are asked to the suspect, the liars experience stress which manifests itself as body language cues. The system uses these cues to determine if the convict is telling the truth or not.

Key Words

Lie Detection , Electrodermal activity, EDA, GSR, Galvanic skin response, Lie Detection using facial analysis, Lie Detection using heart beat analysis, Lie Detection using Galvanic skin response, lie detector using facial analysis, heartbeat sensing and Galvanic skin response, Ear value, Facial 68 landmark points, HOG, Histogram oriented gradients.

Cite This Article

"Lie Detection Using Facial Analysis, Electrodermal Activity, Pulse and Temperature", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.d999-d1011, May-2021, Available :http://www.jetir.org/papers/JETIR2105529.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Lie Detection Using Facial Analysis, Electrodermal Activity, Pulse and Temperature", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppd999-d1011, May-2021, Available at : http://www.jetir.org/papers/JETIR2105529.pdf

Publication Details

Published Paper ID: JETIR2105529
Registration ID: 309527
Published In: Volume 8 | Issue 5 | Year May-2021
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.27015
Page No: d999-d1011
Country: Mumbai , Maharashtra , India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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