P2-32: Influence of Spatial Frequency Information on Face Gender with Different Expressions

Visual image contains broadband information and is processed by different neural channels that are tuned to different spatial frequencies. Here we investigated whether or not our ability in gender identification on emotional faces was influenced by this early visual processing. Four types of emotion...

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Main Authors: Kuei-An Li, Li-Chuan Hsu, Yi-Min Tien, Pi-Chun Huang
Format: Article
Language:English
Published: SAGE Publishing 2012-10-01
Series:i-Perception
Online Access:https://doi.org/10.1068/if691
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spelling doaj-ab9bef524380410fb5472ec1f91c86ad2020-11-25T03:22:13ZengSAGE Publishingi-Perception2041-66952012-10-01310.1068/if69110.1068_if691P2-32: Influence of Spatial Frequency Information on Face Gender with Different ExpressionsKuei-An Li0Li-Chuan HsuYi-Min TienPi-Chun HuangChina Medical University, TaiwanVisual image contains broadband information and is processed by different neural channels that are tuned to different spatial frequencies. Here we investigated whether or not our ability in gender identification on emotional faces was influenced by this early visual processing. Four types of emotional (happy, anger, sad, and fear) faces were used, and all of the stimuli were processed by spatial frequency analysis. Spatial frequency content in the original faces was filtered by using a high-pass filter (cut-off frequency was 24 cycles/image) for the HSF stimuli, and a low-pass filter (cut-off frequency was 6 cycles/image) for the LSF stimuli. Participants needed to identify the gender of the faces. The results showed that the participants responded faster and had higher accuracy to LSF faces than to HSF ones. They also responded faster and had higher accuracy to male faces than to female faces. Further analysis revealed that the identification of an angry man and a happy woman had advantage among combinations of genders and emotions in LSF conditions. However, this advantage was not manifested in HSF conditions. We concluded that the identification of gender with different emotions may rely on the processing of low spatial frequency channels.https://doi.org/10.1068/if691
collection DOAJ
language English
format Article
sources DOAJ
author Kuei-An Li
Li-Chuan Hsu
Yi-Min Tien
Pi-Chun Huang
spellingShingle Kuei-An Li
Li-Chuan Hsu
Yi-Min Tien
Pi-Chun Huang
P2-32: Influence of Spatial Frequency Information on Face Gender with Different Expressions
i-Perception
author_facet Kuei-An Li
Li-Chuan Hsu
Yi-Min Tien
Pi-Chun Huang
author_sort Kuei-An Li
title P2-32: Influence of Spatial Frequency Information on Face Gender with Different Expressions
title_short P2-32: Influence of Spatial Frequency Information on Face Gender with Different Expressions
title_full P2-32: Influence of Spatial Frequency Information on Face Gender with Different Expressions
title_fullStr P2-32: Influence of Spatial Frequency Information on Face Gender with Different Expressions
title_full_unstemmed P2-32: Influence of Spatial Frequency Information on Face Gender with Different Expressions
title_sort p2-32: influence of spatial frequency information on face gender with different expressions
publisher SAGE Publishing
series i-Perception
issn 2041-6695
publishDate 2012-10-01
description Visual image contains broadband information and is processed by different neural channels that are tuned to different spatial frequencies. Here we investigated whether or not our ability in gender identification on emotional faces was influenced by this early visual processing. Four types of emotional (happy, anger, sad, and fear) faces were used, and all of the stimuli were processed by spatial frequency analysis. Spatial frequency content in the original faces was filtered by using a high-pass filter (cut-off frequency was 24 cycles/image) for the HSF stimuli, and a low-pass filter (cut-off frequency was 6 cycles/image) for the LSF stimuli. Participants needed to identify the gender of the faces. The results showed that the participants responded faster and had higher accuracy to LSF faces than to HSF ones. They also responded faster and had higher accuracy to male faces than to female faces. Further analysis revealed that the identification of an angry man and a happy woman had advantage among combinations of genders and emotions in LSF conditions. However, this advantage was not manifested in HSF conditions. We concluded that the identification of gender with different emotions may rely on the processing of low spatial frequency channels.
url https://doi.org/10.1068/if691
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