Research on facial micro-expression analysis has been going on for decades. Micro-expression can reflect the true emotions of individuals, and it has important application value in assisting auxiliary diagnosis and disease monitoring of mental disorders. In recent years, the development of artificial intelligence and big data technology has made the automatic recognition of micro-expressions possible, which will make micro-expression analysis more convenient and more widely used. This paper reviews the development of facial micro-expression analysis and its application in forensic psychiatry, to look into further application prospects and development direction.
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http://dx.doi.org/10.12116/j.issn.1004-5619.2022.120104 | DOI Listing |
Heliyon
March 2024
ENET Centre, VSB-Technical University of Ostrava, Ostrava, Czech Republic.
Micro-expressions (ME) are rapidly occurring expressions that reveal the true emotions that a human being is trying to hide, cover, or suppress. These expressions, which reveal a person's actual feelings, have a broad spectrum of applications in public safety and clinical diagnosis. This study provides a comprehensive review of the area of ME recognition.
View Article and Find Full Text PDFFa Yi Xue Za Zhi
October 2023
Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China.
Sensors (Basel)
March 2023
Department of Electrical Engineering, City University of Hong Kong, Hong Kong, China.
Humans show micro-expressions (MEs) under some circumstances. MEs are a display of emotions that a human wants to conceal. The recognition of MEs has been applied in various fields.
View Article and Find Full Text PDFFront Neurosci
November 2022
School of Electronics and Information Engineering, Southwest University, Chongqing, China.
Macro-expressions are widely used in emotion recognition based on electroencephalography (EEG) because of their use as an intuitive external expression. Similarly, micro-expressions, as suppressed and brief emotional expressions, can also reflect a person's genuine emotional state. Therefore, researchers have started to focus on emotion recognition studies based on micro-expressions and EEG.
View Article and Find Full Text PDFNeurosci Lett
November 2022
School of Electronic and Information Engineering, Southwest University 400715, China; Key Laboratory of Cognition and Personality, Ministry of Education, Southwest University 400715, China. Electronic address:
The inhibition hypothesis advocated by Ekman (1985) states when an emotion is concealed or masked, the true emotion is manifested as a micro-expression (ME) which is a fleeting expression lasting for 40 to 500 ms. However, research about the inhibition hypothesis of ME from the perspective of electrophysiology is lacking. Here, we report the electrophysiological evidence obtained from an electroencephalography (EEG) data analysis method.
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