A review of automated micro-expression analysis

Koo, Sie Min and Mohd Asyraf Zulkifley, and Nor Azwan Mohamed Kamari, (2022) A review of automated micro-expression analysis. Jurnal Kejuruteraan, 34 (5). pp. 763-775. ISSN 0128-0198


Official URL: https://www.ukm.my/jkukm/volume-3405-2022/


Micro-expression is a type of facial expression that is manifested for a very short duration. It is difficult to recognize the expression manually because it involves very subtle facial movements. Such expressions often occur unconsciously, and therefore are defined as a basis to help identify the real human emotions. Hence, an automated approach to micro-expression recognition has become a popular research topic of interest recently. Historically, the early researches on automated micro-expression have utilized traditional machine learning methods, while the more recent development has focused on the deep learning approach. Compared to traditional machine learning, which relies on manual feature processing and requires the use of formulated rules, deep learning networks produce more accurate micro-expression recognition performances through an end-to-end methodology, whereby the features of interest were extracted optimally through the training process, utilizing a large set of data. This paper reviews the developments and trends in micro-expression recognition from the earlier studies (hand-crafted approach) to the present studies (deep learning approach). Some of the important topics that will be covered include the detection of micro-expression from short videos, apex frame spotting, micro-expression recognition as well as performance discussion on the reviewed methods. Furthermore, major limitations that hamper the development of automated micro-expression recognition systems are also analyzed, followed by recommendations of possible future research directions.

Item Type:Article
Keywords:Micro-expression; Apex frame; Spotting; Emotion recognition; Deep learning
Journal:Jurnal Kejuruteraan
ID Code:20578
Deposited By: ms aida -
Deposited On:23 Nov 2022 00:32
Last Modified:28 Nov 2022 12:10

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