Macro- and Micro-Expressions Facial Datasets: A Survey

Hajer Guerdelli, Claudio Ferrari, Walid Barhoumi, Haythem Ghazouani, Stefano Berretti
2022 Sensors  
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
more » ... 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.
doi:10.3390/s22041524 pmid:35214430 pmcid:PMC8879817 fatcat:mylt5rain5d4dbszdknpcjmdui