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.

Macro-and Micro-Expressions Facial Datasets: A Survey / Guerdelli, H.; Ferrari, C.; Barhoumi, W.; Ghazouani, H.; Berretti, S.. - In: SENSORS. - ISSN 1424-8220. - 22:4(2022), p. 1524.1524. [10.3390/s22041524]

Macro-and Micro-Expressions Facial Datasets: A Survey

Ferrari C.;
2022

Abstract

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.
Macro-and Micro-Expressions Facial Datasets: A Survey / Guerdelli, H.; Ferrari, C.; Barhoumi, W.; Ghazouani, H.; Berretti, S.. - In: SENSORS. - ISSN 1424-8220. - 22:4(2022), p. 1524.1524. [10.3390/s22041524]
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11381/2920330
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