A Review of Facial Micro Expression Recognition

Authors

  • Yali Yu
  • Zonghou Huang
  • Jinchan Liang

DOI:

https://doi.org/10.54097/w1pzar38

Keywords:

Micro Expressions, Feature Extraction, Image Processing

Abstract

With facial expression recognition gradually becoming a hot topic in the fields of image processing and artificial intelligence research, more and more scholars are paying attention to the fact that the micro expressions instantly revealed on the face can better reflect human inner emotions and thoughts. In this paper, firstly, the research status of micro expression and the commonly used micro expression datasets are described, and the advantages and disadvantages of each dataset are analyzed. Then the feature extraction of micro expression is analyzed from the two algorithms. Finally, the application fields of micro expression research and the challenges facing the future development are discussed.

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References

[1] W. J. Yan, Q. Wu, J. Liang, et al. How fast are the leaked facial expressions: The duration of Micro-expression[J]. Journal of Nonverbal Behavior, 2013, 37(4): 217-230.

[2] PAUL EKMAN. Darwin, Deception, and Facial Expression[J]. Annals of the New York Academy of Sciences,2003, 1000 (1):205-221.

[3] Ekman P, Friesen V W .Nonverbal Leakage and Clues to Deception[J].Psychiatry,2016,32(1):88-106.

[4] E. L. Rosenberg, P. Ekman. What the face reveals: Basic and applied studies of spontaneous expression using the Facial Action Coding System (FACS)[M]. USA: Oxford University Press, 2020: 49-62.

[5] Ekman P, Friesen W V. Facial Action Coding System. Palo Alto: Consulting Psychologists Press, 1977.

[6] EKMAN P. Lie catching and micro- expressions[J].The Philosophy of Deception, 2009, 1(2): 5.

[7] Li Y, Wei J, Liu Y, et al. Deep Learning for Micro-Expression Recognition: A Survey[J]. IEEE Transactions on Affective Computing, 2022, 13(4): 2028-2046.

[8] Zhang Yanliang, Lu Bing, Jiang Hanxiao, etc Research on the Analysis Method of Correlation between Micro expression Categories and Regions [J] Computer Engineering and Applications, 2020,56 (19): 146-151.

[9] Yu Yang, Sun Fangfang, Lv Hua, etc Micro expression detection method based on multi-scale spatiotemporal attention network [J] Computer Engineering, 2024, 50 (6): 228-235.

[10] She Wenxiang, Liu Bin, Tao Jianhua, etc Micro expression recognition method based on multi-channel motion feature fusion [J] Journal of Computer Aided Design and Graphics, 2021, 33 (9): 1457-1465.

[11] XIANYE BEN, YI REN, JUNPING ZHANG, et al. Video-Based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2022,44(9):5826-5846.

[12] Davison A K, Lansley C, Costen N, et al. Samm: A spontaneous micro-facial movement dataset[J]. IEEE transactions on affective computing, 2016, 9(1): 116-129.

[13] W. J. Yan, X. Li, S. J. Wang, et al. CASMEII: an improved spontaneous micro expression database and the baseline evaluation[J]. PloS One, 2014, 9(1): e86041.

[14] GUOYING ZHAO, MATTI PIETIKAINEN. Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence,2007,29(6):915-928.

[15] Lu Guanming, Yang Cheng, Yang Wenjuan, et al. Micro expression recognition based on LBP-TOP features [J]. Journal of Nanjing University of Posts and Telecommunications (Natural Science Edition), 2017, 37 (06): 1-7.

[16] HAOYUAN MA, GAOYUN AN, SHENGJIE WU, et al. A Region Histogram of Oriented Optical Flow (RHOOF) feature for apex frame spotting in micro-expression[C]. //2017 International Symposium on Intelligent Signal Processing and Communication Systems: ISPACS 2017, Xiamen, China, 6-9 November 2017, [v.1]. Institute of Electrical and Electronics Engineers, 2017:281-286.

[17] Shen Xunbang, Sui Huajie, Fu Xiaolan The application of micro expressions in deception detection [J] Progress in Psychological Science, 2017, 25 (2): 211-220.

[18] Ma Lin, Chen Wenfeng, Fu Xiaolan, etc Facial expression and micro expression recognition in patients with depression [J] Scientific Bulletin, 2018, 63 (20): 2048-2056.

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Published

26-09-2024

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Section

Articles

How to Cite

Yu, Y., Huang, Z., & Liang, J. (2024). A Review of Facial Micro Expression Recognition. Frontiers in Computing and Intelligent Systems, 9(3), 46-48. https://doi.org/10.54097/w1pzar38