Detecting Deceptive Behaviours through Facial Cues from Videos: A Systematic Review

Interest in detecting deceptive behaviours by various application fields, such as security systems, political debates, advanced intelligent user interfaces, etc., makes automatic deception detection an active research topic. This interest has stimulated the development of many deception-detection me...

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Main Authors: Arianna D’Ulizia, Alessia D’Andrea, Patrizia Grifoni, Fernando Ferri
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/13/16/9188
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author Arianna D’Ulizia
Alessia D’Andrea
Patrizia Grifoni
Fernando Ferri
author_facet Arianna D’Ulizia
Alessia D’Andrea
Patrizia Grifoni
Fernando Ferri
author_sort Arianna D’Ulizia
collection DOAJ
description Interest in detecting deceptive behaviours by various application fields, such as security systems, political debates, advanced intelligent user interfaces, etc., makes automatic deception detection an active research topic. This interest has stimulated the development of many deception-detection methods in the literature in recent years. This work systematically reviews the literature focused on facial cues of deception. The most relevant methods applied in the literature of the last decade have been surveyed and classified according to the main steps of the facial-deception-detection process (video pre-processing, facial feature extraction, and decision making). Moreover, datasets used for the evaluation and future research directions have also been analysed.
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spelling doaj.art-d36239eb871e4d508d2a0ea3a6ec009b2023-11-19T00:05:46ZengMDPI AGApplied Sciences2076-34172023-08-011316918810.3390/app13169188Detecting Deceptive Behaviours through Facial Cues from Videos: A Systematic ReviewArianna D’Ulizia0Alessia D’Andrea1Patrizia Grifoni2Fernando Ferri3Consiglio Nazionale delle Ricerche (CNR)—IRPPS, 00185 Rome, ItalyConsiglio Nazionale delle Ricerche (CNR)—IRPPS, 00185 Rome, ItalyConsiglio Nazionale delle Ricerche (CNR)—IRPPS, 00185 Rome, ItalyConsiglio Nazionale delle Ricerche (CNR)—IRPPS, 00185 Rome, ItalyInterest in detecting deceptive behaviours by various application fields, such as security systems, political debates, advanced intelligent user interfaces, etc., makes automatic deception detection an active research topic. This interest has stimulated the development of many deception-detection methods in the literature in recent years. This work systematically reviews the literature focused on facial cues of deception. The most relevant methods applied in the literature of the last decade have been surveyed and classified according to the main steps of the facial-deception-detection process (video pre-processing, facial feature extraction, and decision making). Moreover, datasets used for the evaluation and future research directions have also been analysed.https://www.mdpi.com/2076-3417/13/16/9188deception detectionfacial cuesdatasetfeature extractiondecision-making algorithms
spellingShingle Arianna D’Ulizia
Alessia D’Andrea
Patrizia Grifoni
Fernando Ferri
Detecting Deceptive Behaviours through Facial Cues from Videos: A Systematic Review
Applied Sciences
deception detection
facial cues
dataset
feature extraction
decision-making algorithms
title Detecting Deceptive Behaviours through Facial Cues from Videos: A Systematic Review
title_full Detecting Deceptive Behaviours through Facial Cues from Videos: A Systematic Review
title_fullStr Detecting Deceptive Behaviours through Facial Cues from Videos: A Systematic Review
title_full_unstemmed Detecting Deceptive Behaviours through Facial Cues from Videos: A Systematic Review
title_short Detecting Deceptive Behaviours through Facial Cues from Videos: A Systematic Review
title_sort detecting deceptive behaviours through facial cues from videos a systematic review
topic deception detection
facial cues
dataset
feature extraction
decision-making algorithms
url https://www.mdpi.com/2076-3417/13/16/9188
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