The effect of gender-specific facial expressions on face recognition system's reliability

Mohammadreza Azimi; Andrzej Pacut

doi:10.1109/AQTR.2018.8402705

The effect of gender-specific facial expressions on face recognition system's reliability

Mohammadreza Azimi, Andrzej Pacut

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Citations (Scopus)

Abstract

Previous studies concerned with Gender differences in psychology, reported that women are more emotional in comparison with men. However, from biometric science point view this fact has not been investigated yet. In this study, we have used Psychological Image Collection at Stirling (PICS) http://pics.stir.ac.uk/, contains pictures from 13 women and 10 male users with different emotional moods, in order to test if, as the psychologists say, women show more intense facial expression than men or not? For this purpose, two state of the art codes, Python face recognition dlib and VeriLook neurotechnology have been implemented.

Original language	English
Title of host publication	2018 IEEE International Conference on Automation, Quality and Testing, Robotics, AQTR 2018 - THETA 21st Edition, Proceedings
Editors	Liviu Miclea, Ioan Stoian
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-4
Number of pages	4
ISBN (Electronic)	9781538622049
DOIs	https://doi.org/10.1109/AQTR.2018.8402705
Publication status	Published - 3 Jul 2018
Externally published	Yes
Event	21st IEEE International Conference on Automation, Quality and Testing, Robotics - Cluj-Napoca, Romania Duration: 24 May 2018 → 26 May 2018 Conference number: 21 https://www.aqtr.ro/2016/

Publication series

Name	2018 IEEE International Conference on Automation, Quality and Testing, Robotics, AQTR 2018 - THETA 21st Edition, Proceedings

Conference

Conference	21st IEEE International Conference on Automation, Quality and Testing, Robotics
Abbreviated title	AQTR 2018
Country/Territory	Romania
City	Cluj-Napoca
Period	24/05/18 → 26/05/18
Internet address	https://www.aqtr.ro/2016/

Keywords*

Biometrics
Facial Recognition System
Gender Dependency
Mood Expressions
Performance Analysis

Field of Science*

2.2 Electrical engineering, Electronic engineering, Information engineering
5.1 Psychology

Publication Type*

3.1. Articles or chapters in proceedings/scientific books indexed in Web of Science and/or Scopus database

Access to Document

10.1109/AQTR.2018.8402705

Cite this

Azimi, M., & Pacut, A. (2018). The effect of gender-specific facial expressions on face recognition system's reliability. In L. Miclea, & I. Stoian (Eds.), 2018 IEEE International Conference on Automation, Quality and Testing, Robotics, AQTR 2018 - THETA 21st Edition, Proceedings (pp. 1-4). (2018 IEEE International Conference on Automation, Quality and Testing, Robotics, AQTR 2018 - THETA 21st Edition, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AQTR.2018.8402705

Azimi, Mohammadreza ; Pacut, Andrzej. / The effect of gender-specific facial expressions on face recognition system's reliability. 2018 IEEE International Conference on Automation, Quality and Testing, Robotics, AQTR 2018 - THETA 21st Edition, Proceedings. editor / Liviu Miclea ; Ioan Stoian. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 1-4 (2018 IEEE International Conference on Automation, Quality and Testing, Robotics, AQTR 2018 - THETA 21st Edition, Proceedings).

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title = "The effect of gender-specific facial expressions on face recognition system's reliability",

abstract = "Previous studies concerned with Gender differences in psychology, reported that women are more emotional in comparison with men. However, from biometric science point view this fact has not been investigated yet. In this study, we have used Psychological Image Collection at Stirling (PICS) http://pics.stir.ac.uk/, contains pictures from 13 women and 10 male users with different emotional moods, in order to test if, as the psychologists say, women show more intense facial expression than men or not? For this purpose, two state of the art codes, Python face recognition dlib and VeriLook neurotechnology have been implemented.",

keywords = "Biometrics, Facial Recognition System, Gender Dependency, Mood Expressions, Performance Analysis",

author = "Mohammadreza Azimi and Andrzej Pacut",

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year = "2018",

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language = "English",

series = "2018 IEEE International Conference on Automation, Quality and Testing, Robotics, AQTR 2018 - THETA 21st Edition, Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1--4",

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Azimi, M & Pacut, A 2018, The effect of gender-specific facial expressions on face recognition system's reliability. in L Miclea & I Stoian (eds), 2018 IEEE International Conference on Automation, Quality and Testing, Robotics, AQTR 2018 - THETA 21st Edition, Proceedings. 2018 IEEE International Conference on Automation, Quality and Testing, Robotics, AQTR 2018 - THETA 21st Edition, Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1-4, 21st IEEE International Conference on Automation, Quality and Testing, Robotics, Cluj-Napoca, Romania, 24/05/18. https://doi.org/10.1109/AQTR.2018.8402705

The effect of gender-specific facial expressions on face recognition system's reliability. / Azimi, Mohammadreza; Pacut, Andrzej.
2018 IEEE International Conference on Automation, Quality and Testing, Robotics, AQTR 2018 - THETA 21st Edition, Proceedings. ed. / Liviu Miclea; Ioan Stoian. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-4 (2018 IEEE International Conference on Automation, Quality and Testing, Robotics, AQTR 2018 - THETA 21st Edition, Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Pacut, Andrzej

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N2 - Previous studies concerned with Gender differences in psychology, reported that women are more emotional in comparison with men. However, from biometric science point view this fact has not been investigated yet. In this study, we have used Psychological Image Collection at Stirling (PICS) http://pics.stir.ac.uk/, contains pictures from 13 women and 10 male users with different emotional moods, in order to test if, as the psychologists say, women show more intense facial expression than men or not? For this purpose, two state of the art codes, Python face recognition dlib and VeriLook neurotechnology have been implemented.

AB - Previous studies concerned with Gender differences in psychology, reported that women are more emotional in comparison with men. However, from biometric science point view this fact has not been investigated yet. In this study, we have used Psychological Image Collection at Stirling (PICS) http://pics.stir.ac.uk/, contains pictures from 13 women and 10 male users with different emotional moods, in order to test if, as the psychologists say, women show more intense facial expression than men or not? For this purpose, two state of the art codes, Python face recognition dlib and VeriLook neurotechnology have been implemented.

KW - Biometrics

KW - Facial Recognition System

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KW - Performance Analysis

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Azimi M, Pacut A. The effect of gender-specific facial expressions on face recognition system's reliability. In Miclea L, Stoian I, editors, 2018 IEEE International Conference on Automation, Quality and Testing, Robotics, AQTR 2018 - THETA 21st Edition, Proceedings. Institute of Electrical and Electronics Engineers Inc. 2018. p. 1-4. (2018 IEEE International Conference on Automation, Quality and Testing, Robotics, AQTR 2018 - THETA 21st Edition, Proceedings). doi: 10.1109/AQTR.2018.8402705

The effect of gender-specific facial expressions on face recognition system's reliability

Abstract

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Keywords*

Field of Science*

Publication Type*

Access to Document

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