Detecting deception through facial expressions in a dataset of videotaped interviews: A comparison between human judges and machine learning models-Reference-Cited by-同舟云学术

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Detecting deception through facial expressions in a dataset of videotaped interviews: A comparison between human judges and machine learning models

Published:2022-02 Issue: Volume:127 Page:107063
ISSN:0747-5632
Container-title:Computers in Human Behavior
language:en
Short-container-title:Computers in Human Behavior

Author:

Monaro Merylin^ORCID,Maldera Stéphanie,Scarpazza Cristina,Sartori Giuseppe^ORCID,Navarin Nicolò^ORCID

Funder

Università degli Studi di Padova

Ministero dell’Istruzione, dell’Università e della Ricerca

Publisher

Elsevier BV

Subject

General Psychology,Human-Computer Interaction,Arts and Humanities (miscellaneous)

Reference55 articles.

1. Automatic deception detection in RGB videos using facial action units;Avola,2019

2. Cross-dataset learning and person-specific normalisation for automatic Action Unit detection;Baltrusaitis,2015

3. OpenFace 2.0: Facial behavior analysis toolkit;Baltrusaitis,2018

4. Automatic decoding of facial movements reveals deceptive pain expressions;Bartlett;Current Biology,2014

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