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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
University of Finance and Management in Warsaw
2017
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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 |
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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 |
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