Cargando…

Gender Classification Based on Eye Movements: A Processing Effect During Passive Face Viewing

Studies have revealed superior face recognition skills in females, partially due to their different eye movement strategies when encoding faces. In the current study, we utilized these slight but important differences and proposed a model that estimates the gender of the viewers and classifies them...

Descripción completa

Detalles Bibliográficos
Autores principales: Sammaknejad, Negar, Pouretemad, Hamidreza, Eslahchi, Changiz, Salahirad, Alireza, Alinejad, Ashkan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: University of Finance and Management in Warsaw 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5648518/
https://www.ncbi.nlm.nih.gov/pubmed/29071007
http://dx.doi.org/10.5709/acp-0223-1
_version_ 1783272412340551680
author Sammaknejad, Negar
Pouretemad, Hamidreza
Eslahchi, Changiz
Salahirad, Alireza
Alinejad, Ashkan
author_facet Sammaknejad, Negar
Pouretemad, Hamidreza
Eslahchi, Changiz
Salahirad, Alireza
Alinejad, Ashkan
author_sort Sammaknejad, Negar
collection PubMed
description Studies have revealed superior face recognition skills in females, partially due to their different eye movement strategies when encoding faces. In the current study, we utilized these slight but important differences and proposed a model that estimates the gender of the viewers and classifies them into two subgroups, males and females. An eye tracker recorded participant’s eye movements while they viewed images of faces. Regions of interest (ROIs) were defined for each face. Results showed that the gender dissimilarity in eye movements was not due to differences in frequency of fixations in the ROI s per se. Instead, it was caused by dissimilarity in saccade paths between the ROIs. The difference enhanced when saccades were towards the eyes. Females showed significant increase in transitions from other ROI s to the eyes. Consequently, the extraction of temporal transient information of saccade paths through a transition probability matrix, similar to a first order Markov chain model, significantly improved the accuracy of the gender classification results.
format Online
Article
Text
id pubmed-5648518
institution National Center for Biotechnology Information
language English
publishDate 2017
publisher University of Finance and Management in Warsaw
record_format MEDLINE/PubMed
spelling pubmed-56485182017-10-25 Gender Classification Based on Eye Movements: A Processing Effect During Passive Face Viewing Sammaknejad, Negar Pouretemad, Hamidreza Eslahchi, Changiz Salahirad, Alireza Alinejad, Ashkan Adv Cogn Psychol Research Article Studies have revealed superior face recognition skills in females, partially due to their different eye movement strategies when encoding faces. In the current study, we utilized these slight but important differences and proposed a model that estimates the gender of the viewers and classifies them into two subgroups, males and females. An eye tracker recorded participant’s eye movements while they viewed images of faces. Regions of interest (ROIs) were defined for each face. Results showed that the gender dissimilarity in eye movements was not due to differences in frequency of fixations in the ROI s per se. Instead, it was caused by dissimilarity in saccade paths between the ROIs. The difference enhanced when saccades were towards the eyes. Females showed significant increase in transitions from other ROI s to the eyes. Consequently, the extraction of temporal transient information of saccade paths through a transition probability matrix, similar to a first order Markov chain model, significantly improved the accuracy of the gender classification results. University of Finance and Management in Warsaw 2017-09-30 /pmc/articles/PMC5648518/ /pubmed/29071007 http://dx.doi.org/10.5709/acp-0223-1 Text en Copyright: © 2017 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Sammaknejad, Negar
Pouretemad, Hamidreza
Eslahchi, Changiz
Salahirad, Alireza
Alinejad, Ashkan
Gender Classification Based on Eye Movements: A Processing Effect During Passive Face Viewing
title Gender Classification Based on Eye Movements: A Processing Effect During Passive Face Viewing
title_full Gender Classification Based on Eye Movements: A Processing Effect During Passive Face Viewing
title_fullStr Gender Classification Based on Eye Movements: A Processing Effect During Passive Face Viewing
title_full_unstemmed Gender Classification Based on Eye Movements: A Processing Effect During Passive Face Viewing
title_short Gender Classification Based on Eye Movements: A Processing Effect During Passive Face Viewing
title_sort gender classification based on eye movements: a processing effect during passive face viewing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5648518/
https://www.ncbi.nlm.nih.gov/pubmed/29071007
http://dx.doi.org/10.5709/acp-0223-1
work_keys_str_mv AT sammaknejadnegar genderclassificationbasedoneyemovementsaprocessingeffectduringpassivefaceviewing
AT pouretemadhamidreza genderclassificationbasedoneyemovementsaprocessingeffectduringpassivefaceviewing
AT eslahchichangiz genderclassificationbasedoneyemovementsaprocessingeffectduringpassivefaceviewing
AT salahiradalireza genderclassificationbasedoneyemovementsaprocessingeffectduringpassivefaceviewing
AT alinejadashkan genderclassificationbasedoneyemovementsaprocessingeffectduringpassivefaceviewing