What is it about?
Micro-expressions are facial movements that are extremely short and not easily detected, which often reflect the genuine emotions of individuals. Micro-expressions are important cues for understanding real human emotions and can be used for non-contact, non-perceptual deception detection, or abnormal emotion recognition. FME'23 is the inaugural workshop in this area of research, with the aim of promoting interactions between researchers and scholars from within this niche area of research.
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Why is it important?
The work shown in this workshop has broad application prospects in national security, judicial practice, health prevention, and clinical practice. However, micro-expression feature extraction and learning are highly challenging because they are typically short in duration, low intensity, and have local facial asymmetry. In addition, the intelligent micro-expression analysis combined with deep learning technology is also plagued by the problem of relatively small data samples. Not only is micro-expression elicitation very difficult, micro-expression annotation is also very time-consuming and laborious.
Perspectives
This year it is hoped we discuss the growing ethical conversations when using face data, and how we can come to a consensus on micro-expression standards within affective computing.
Adrian Davison
Manchester Metropolitan University
Read the Original
This page is a summary of: FME '23: 3rd Facial Micro-Expression Workshop, October 2023, ACM (Association for Computing Machinery),
DOI: 10.1145/3581783.3610948.
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