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...
Main Authors: | , , , |
---|---|
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 |
_version_ | 1797585641874128896 |
---|---|
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. |
first_indexed | 2024-03-11T00:09:58Z |
format | Article |
id | doaj.art-d36239eb871e4d508d2a0ea3a6ec009b |
institution | Directory Open Access Journal |
issn | 2076-3417 |
language | English |
last_indexed | 2024-03-11T00:09:58Z |
publishDate | 2023-08-01 |
publisher | MDPI AG |
record_format | Article |
series | Applied Sciences |
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 |
work_keys_str_mv | AT ariannadulizia detectingdeceptivebehavioursthroughfacialcuesfromvideosasystematicreview AT alessiadandrea detectingdeceptivebehavioursthroughfacialcuesfromvideosasystematicreview AT patriziagrifoni detectingdeceptivebehavioursthroughfacialcuesfromvideosasystematicreview AT fernandoferri detectingdeceptivebehavioursthroughfacialcuesfromvideosasystematicreview |