A Review of Dynamic Datasets for Facial Expression Research
by , , ,
Abstract:
Temporal dynamics have been increasingly recognized as an important component of facial expressions. With the need for appropriate stimuli in research and application, a range of databases of dynamic facial stimuli has been developed. The present article reviews the existing corpora and describes the key dimensions and properties of the available sets. This includes a discussion of conceptual features in terms of thematic issues in dataset construction as well as practical features which are of applied interest to stimulus usage. To identify the most influential sets, we further examine their citation rates and usage frequencies in existing studies. General limitations and implications for emotion research are noted and future directions for stimulus generation are outlined.
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PDF URL: http://journals.sagepub.com/doi/10.1177/1754073916670022
Reference:
A Review of Dynamic Datasets for Facial Expression Research (Eva G. Krumhuber, Lina Skora, Dennis Küster, Linyun Fou), In Emotion Review, volume 9, 2017.
Bibtex Entry:
@article{krumhuber_review_2017,
	title = {A {Review} of {Dynamic} {Datasets} for {Facial} {Expression} {Research}},
	volume = {9},
	issn = {1754-0739, 1754-0747},
	url = {10.1177/1754073916670022">http://journals.sagepub.com/doi/10.1177/1754073916670022},
	doi = {10.1177/1754073916670022},
	abstract = {Temporal dynamics have been increasingly recognized as an important component of facial expressions. With the need for appropriate stimuli in research and application, a range of databases of dynamic facial stimuli has been developed. The present article reviews the existing corpora and describes the key dimensions and properties of the available sets. This includes a discussion of conceptual features in terms of thematic issues in dataset construction as well as practical features which are of applied interest to stimulus usage. To identify the most influential sets, we further examine their citation rates and usage frequencies in existing studies. General limitations and implications for emotion research are noted and future directions for stimulus generation are outlined.},
	language = {en},
	number = {3},
	urldate = {2019-01-08},
	journal = {Emotion Review},
	author = {Krumhuber, Eva G. and Skora, Lina and Küster, Dennis and Fou, Linyun},
	month = jul,
	year = {2017},
	pages = {280--292},
}