Literature DB >> 30223717

Development of the Youth Emotion Picture Set.

Bruno Novello1, Anelise Renner1, Guilherme Maurer1, Soraia Musse1, Adriane Arteche1.   

Abstract

Several facial expression image sets have been developed. Nevertheless, there is a lack of facial expression sets comprising adolescents' images depicting all basic emotions. This study aimed to fill this gap through the development of an image database of youth facial expressions, containing pictures of six basic emotions plus neutral. Posed and spontaneous expressions were collected from 31 youths, 12 to 20 years old; 2,279 frames were obtained, and an initial screening was conducted through the exclusion of similar frames, low intensity images, and ambiguous or blended expressions; 256 frames met criteria and were rechecked by two expert judges. Images were retained if they depicted all the prototypical features of the designated expression. A final selection was conducted to assure an image set that covered all age ranges, both sexes and an even number of images by expression, resulting in 42 frames (21 male, six of each emotion). Expert judges, independent adults, independent teenagers, and a software validation were used to assure database validity. Agreement across raters was high, and no differences were observed for posed and spontaneous images. The data set developed in this study can be a valid tool in studies of facial expressions, in particular, with adolescents' samples.

Entities:  

Keywords:  adolescence; affect recognition; emotions; facial expression

Mesh:

Year:  2018        PMID: 30223717     DOI: 10.1177/0301006618797226

Source DB:  PubMed          Journal:  Perception        ISSN: 0301-0066            Impact factor:   1.490


  2 in total

1.  Padova Emotional Dataset of Facial Expressions (PEDFE): A unique dataset of genuine and posed emotional facial expressions.

Authors:  A Miolla; M Cardaioli; C Scarpazza
Journal:  Behav Res Methods       Date:  2022-08-24

2.  Subjective ratings and emotional recognition of children's facial expressions from the CAFE set.

Authors:  Marília Prada; Margarida V Garrido; Cláudia Camilo; David L Rodrigues
Journal:  PLoS One       Date:  2018-12-27       Impact factor: 3.240

  2 in total

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