University of Bahrain
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A Comprehensive Study of Various Modalities Used for Deception Detection

Show simple item record Harishbhai, Maheta Hardikkumar Vaghela, Dineshkumar B. 2023-07-21T05:56:33Z 2023-07-21T05:56:33Z 2023-12-28
dc.identifier.issn 2210-142X
dc.description.abstract Deception detection is an investigative method to determine if someone is telling the truth or fabricating information. It has attracted a lot of study interest because of its potential to be helpful in a variety of real-life problems, including healthcare, law enforcement, internet fraud, criminal investigation, and national security systems. Conventional methods such as the polygraph, demeanor observation, electroencephalogram, and functional magnetic resonance imaging (fMRI) are available to detect deception. These methods are unreliable because they require human interaction and training. They are also time-consuming and costly. Therefore, researchers developed machine learning-driven algorithms to remove human dependency. They have explored thermal imaging, acoustic analysis, eye tracking, facial micro-expression processing, and linguistic analysis to detect deception using machine learning. These techniques may produce better results because they are human-independent and unaffected by race or ethnicity. One can achieve a more reliable automatic deception detection system using features from multiple modalities. This study investigates the feasibility of using linguistic, speech, thermal, and video modality for automatic deception detection. This paper intends to present a detailed analysis of various deception detection data sets, modalities, and possible directions for the field’s development in the future. en_US
dc.language.iso en en_US
dc.publisher University of Bahrain en_US
dc.subject Deception detection en_US
dc.subject Facial micro-expression en_US
dc.subject Acoustic analysis en_US
dc.subject Brain activity mapping en_US
dc.subject Linguistic analysis en_US
dc.subject Eye movement monitoring en_US
dc.title A Comprehensive Study of Various Modalities Used for Deception Detection en_US
dc.volume 14 en_US
dc.issue 1 en_US
dc.pagestart 10523 en_US
dc.pageend 10542 en_US
dc.contributor.authorcountry India en_US
dc.contributor.authoraffiliation Gujarat Technological University en_US
dc.source.title International Journal of Computing and Digital Systems en_US
dc.abbreviatedsourcetitle IJCDS en_US

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