Citation

Oh, Yee Hui and See, John Su Yang and Le Ngo, Anh Cat and Phan, Raphael Chung Wei and Baskaran, Vishnu Monn (2018) A Survey of Automatic Facial Micro-Expression Analysis: Databases, Methods, and Challenges. Frontiers in Psychology, 9. p. 1. ISSN 1664-1078

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Abstract

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 in psychology, it is still relatively new from the computational perspective with many interesting problems. In this survey, we present a comprehensive review of state-of-the-art databases and methods for micro-expressions spotting and recognition. Individual stages involved in the automation of these tasks are also described and reviewed at length. In addition, we also deliberate on the challenges and future directions in this growing field of automatic facial micro-expression analysis

Item Type:	Article
Uncontrolled Keywords:	Human face recognition (Computer science), facial micro-expressions, subtle emotions, survey, spotting, recognition, databases, spontaneous, expressions
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	03 Dec 2020 11:54
Last Modified:	03 Dec 2020 11:54
URII:	http://shdl.mmu.edu.my/id/eprint/7519

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