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  1. A Survey of Automatic Facial Micro-Expression Analysis: Databases, Methods, and Challenges.Yee-Hui Oh, John See, Anh Cat Le Ngo, Raphael C. -W. Phan & Vishnu M. Baskaran - 2018 - Frontiers in Psychology 9:336565.
    Over the last few years, automatic facial micro-expression analysis has garnered increasing attention from experts across different disciplines because of its potential applications in various fields such as clinical diagnosis, forensic investigation and security systems. Advances in computer algorithms and video acquisition technology have rendered machine analysis of facial micro-expressions possible today, in contrast to decades ago when it was primarily the domain of psychiatrists where analysis was largely manual. Indeed, although the study of facial micro-expressions is a well-established field (...)
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  • Responses of functional brain networks in micro-expressions: An EEG study.Xingcong Zhao, Jiejia Chen, Tong Chen, Shiyuan Wang, Ying Liu, Xiaomei Zeng & Guangyuan Liu - 2022 - Frontiers in Psychology 13.
    Micro-expressions can reflect an individual’s subjective emotions and true mental state, and they are widely used in the fields of mental health, justice, law enforcement, intelligence, and security. However, one of the major challenges of working with MEs is that their neural mechanism is not entirely understood. To the best of our knowledge, the present study is the first to use electroencephalography to investigate the reorganizations of functional brain networks involved in MEs. We aimed to reveal the underlying neural mechanisms (...)
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  • Commentary: The Dynamic Features of Lip Corners in Genuine and Posed Smiles.Yingqi Li, Zhongyong Shi, Honglei Zhang, Lishu Luo & Guoxin Fan - 2018 - Frontiers in Psychology 9.
    For thousands of human’s history, we have learned how to fake or hide our genuine feelings and emotion to our surrounding folks intentionally or unconsciously. It is an irony that this is what we call emotion intelligence to get more interests, show our politeness, tackle the dilemma, or deal with many other complicated situations. Posed smiles are one of the most common faked expressions in our daily life. Indeed, it is a challenge for computer vision system to recognize genuine from (...)
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  • Commentary: Electrophysiological Evidence Reveals Differences between the Recognition of Microexpressions and Macroexpressions.David Matsumoto & Hyisung C. Hwang - 2019 - Frontiers in Psychology 10.
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