Journal Article

Macro- and Micro-Expressions Facial Datasets: A Survey

Ghazouani, Haythem, Guerdelli, Hajer, Ferrari, Claudio, Berretti, Stefano, Barhoumi, Walid

2022

Overview

Automatic facial expression recognition is essential for many potential applications. Thus, having a clear overview on existing datasets that have been investigated within the framework of face expression recognition is of paramount importance in designing and evaluating effective solutions, notably for neural networks-based training. In this survey, we provide a review of more than eighty facial expression datasets, while taking into account both macro- and micro-expressions. The proposed study is mostly focused on spontaneous and in-the-wild datasets, given the common trend in the research is that of considering contexts where expressions are shown in a spontaneous way and in a real context. We have also provided instances of potential applications of the investigated datasets, while putting into evidence their pros and cons. The proposed survey can help researchers to have a better understanding of the characteristics of the existing datasets, thus facilitating the choice of the data that best suits the particular context of their application.

• Publisher: MDPI AG,MDPI
• Subject: Acquisitions & mergers / applications of facial expression datasets / Datasets / Emotions / Face / Facial Expression / facial expression recognition / Facial Recognition / macro-expressions datasets / micro-expressions datasets / Neural Networks, Computer / Pain / Physiology / Review