文章基本信息

标题：Gender Classification Based on Eye Movements: A Processing Effect During Passive Face Viewing
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作者：Negar Sammaknejad ; Hamidreza Pouretemad ; Changiz Eslahchi 等
期刊名称：Advances in Cognitive Psychology
电子版ISSN：1895-1171
出版年度：2017
卷号：13
期号：3
页码：232-240
DOI：10.5709/acp-0223-1
语种：English
出版社：Prague Development Center
摘要：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.
关键词：engender classificationfixationssaccadesMarkov chain modelleft visual field bias