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

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

^*Corresponding author for this work

Research output: Contribution to journal › Article (Academic Journal) › peer-review

69 Citations (Scopus)

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.

Original language	English
Article number	e0231304
Journal	PLoS ONE
Volume	15
Issue number	4
DOIs	https://doi.org/10.1371/journal.pone.0231304
Publication status	Published - Apr 2020

Bibliographical note

Funding Information:
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.

Publisher Copyright:
Copyright: © 2020 Yang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Yang, T., Yang, Z., Xu, G., Gao, D., Zhang, Z., Wang, H., Liu, S., Han, L., Zhu, Z., Tian, Y., Huang, Y., Zhao, L., Zhong, K., Shi, B., Li, J., Fu, S., Liang, P., Banissy, M. J., & Sun, P. (2020). Tsinghua facial expression database - A database of facial expressions in Chinese young and older women and men: Development and validation. PLoS ONE, 15(4), Article e0231304. https://doi.org/10.1371/journal.pone.0231304

@article{e38f35e9efe949aeb354746518c18a07,

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

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.",

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

note = "Funding Information: 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. Publisher Copyright: Copyright: {\textcopyright} 2020 Yang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.",

year = "2020",

month = apr,

doi = "10.1371/journal.pone.0231304",

language = "English",

volume = "15",

journal = "PLoS ONE",

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Yang, T, Yang, Z, Xu, G, Gao, D, Zhang, Z, Wang, H, Liu, S, Han, L, Zhu, Z, Tian, Y, Huang, Y, Zhao, L, Zhong, K, Shi, B, Li, J, Fu, S, Liang, P, Banissy, MJ & Sun, P 2020, 'Tsinghua facial expression database - A database of facial expressions in Chinese young and older women and men: Development and validation', PLoS ONE, vol. 15, no. 4, e0231304. https://doi.org/10.1371/journal.pone.0231304

TY - JOUR

T1 - Tsinghua facial expression database - A database of facial expressions in Chinese young and older women and men

T2 - Development and validation

AU - Yang, Tao

AU - Yang, Zeyun

AU - Xu, Guangzheng

AU - Gao, Duoling

AU - Zhang, Ziheng

AU - Wang, Hui

AU - Liu, Shiyu

AU - Han, Linfeng

AU - Zhu, Zhixin

AU - Tian, Yang

AU - Huang, Yuqi

AU - Zhao, Lei

AU - Zhong, Kui

AU - Shi, Bolin

AU - Li, Juan

AU - Fu, Shimin

AU - Liang, Peipeng

AU - Banissy, Michael J.

AU - Sun, Pei

N1 - Funding Information: 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. Publisher Copyright: Copyright: © 2020 Yang et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

PY - 2020/4

Y1 - 2020/4

N2 - 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.

AB - 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.

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DO - 10.1371/journal.pone.0231304

M3 - Article (Academic Journal)

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AN - SCOPUS:85083305356

SN - 1932-6203

VL - 15

JO - PLoS ONE

JF - PLoS ONE

IS - 4

M1 - e0231304

ER -

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

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