Tsinghua facial expression database - A database of facial expressions in Chinese young and older women and men: Development and validation

Tao Yang; Zeyun Yang; Guangzheng Xu; Duoling Gao; Ziheng Zhang; Hui Wang; Shiyu Liu; Linfeng Han; Zhixin Zhu; Yang Tian; Yuqi Huang; Lei Zhao; Kui Zhong; Bolin Shi; Juan Li; Shimin Fu; Peipeng Liang; Michael J Banissy; Pei Sun

doi:10.1371/journal.pone.0231304

Tsinghua facial expression database - A database of facial expressions in Chinese young and older women and men: Development and validation

PLoS One. 2020 Apr 15;15(4):e0231304. doi: 10.1371/journal.pone.0231304. eCollection 2020.

Authors

Tao Yang¹, Zeyun Yang¹, Guangzheng Xu¹, Duoling Gao¹, Ziheng Zhang¹, Hui Wang¹, Shiyu Liu¹, Linfeng Han¹, Zhixin Zhu¹, Yang Tian¹, Yuqi Huang¹, Lei Zhao², Kui Zhong², Bolin Shi², Juan Li³, Shimin Fu¹, Peipeng Liang⁴, Michael J Banissy⁵, Pei Sun^{1

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Affiliations

¹ Department of Psychology, School of Social Sciences, Tsinghua University, Beijing, China.
² Food and Agriculture Standardization Institute, China National Institute of Standardization, Beijing, China.
³ Institute of Psychology, Chinese Academy of Sciences, Beijing, China.
⁴ School of Psychology, Capital Normal University, Beijing, China.
⁵ Department of Psychology, Goldsmiths, University of London, London, United Kingdom.
⁶ Tsinghua H+ Lab, Tsinghua University, Beijing, China.
⁷ Tsinghua Brain and Intelligence Lab, Tsinghua University, Beijing, China.

Abstract

Perception of facial identity and emotional expressions is fundamental to social interactions. Recently, interest in age associated changes in the processing of faces has grown rapidly. Due to the lack of older faces stimuli, most previous age-comparative studies only used young faces stimuli, which might cause own-age advantage. None of the existing Eastern face stimuli databases contain face images of different age groups (e.g. older adult faces). In this study, a database that comprises images of 110 Chinese young and older adults displaying eight facial emotional expressions (Neutral, Happiness, Anger, Disgust, Surprise, Fear, Content, and Sadness) was constructed. To validate this database, each image was rated on the basis of perceived facial expressions, perceived emotional intensity, and perceived age by two different age groups. Results have shown an overall 79.08% correct identification rate in the validation. Access to the freely available database can be requested by emailing the corresponding authors.

Publication types

Research Support, Non-U.S. Gov't
Validation Study

MeSH terms

Adult
Aged
Anger
Asian People
Databases, Factual*
Emotions*
Facial Expression*
Facial Recognition*
Fear
Female
Happiness
Humans
Male
Middle Aged
Photography
Sadness
Social Perception*
Young Adult

Grants and funding

The project was supported by the Special Fundamental Research Fund for the Central Public Scientific Research Institutes (562018Y-5983), Science and Technology Program of China State Administration for Market Regulation (2019MK117), Natural Science Foundation of China (81671065) for PS; the ESRC Research Grant [ES/R007527/1] and Tsinghua Global Scholars Fellowship Program for MJB; and China Postdoctoral Science Foundation Grant (2018M641311) for TY. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Science and Technology Program of China State Administration for Market Regulation, 2019MK117, Pei Sun Tsinghua Global Scholars Fellowship Program, Michael J. Banissy.