The Karolinska Directed Emotional Faces: A validation study

By Ellen Goeleven, R. de Raedt, L. Leyman, Bruno Verschuere. 2008

806 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Food Science, Social Psychology

View Paper: https://www.semanticscholar.org/paper/dbe0d9cdd2ac5b483aa6115757d4b73c9d1c3327

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Cognitive Neuroscience

1. Grgoire Montavon
2. Wojciech Samek
3. K. Müller
4. Ernst H. W. Koster
5. Evi De Lissnyder
6. J. V. D. Stock
7. A. van Knippenberg
8. Ulman E. R. Lindenberger

In Food Science

1. Evi De Lissnyder
2. Ernst H. W. Koster
3. R. de Raedt

In Social Psychology

1. Natalie C. Ebner
2. J. V. D. Stock
3. Evi De Lissnyder
4. Ernst H. W. Koster
5. A. van Knippenberg
6. K. Müller
7. Ulman E. R. Lindenberger
8. Weihong Deng

Citations in the corpus

• Identifying Individual Facial Expressions by Deconstructing a Neural Network (2016, methodology): “Therefore, we have taken another dataset, the Karolinska directed emotional faces (KDEF) [8], which contains the same adult person with different emotional states for the following analysis.”
• The association between depressive symptoms and executive control impairments in response to emotional and non-emotional information (2010, methodology): “95) faces were selected from a validation study of the KDEF picture set (Goeleven, De Raedt, Leyman, & Verschuere, 2008 ).”
• FACES—A database of facial expressions in young, middle-aged, and older women and men: Development and validation (2010, result): “…percentages of correct facial expression identification for each of the six facial expressions depicted in the images from the FACES database were relatively high and were comparable to those from other facial databases (Calvo & Lundqvist, 2008; Goeleven et al., 2008; Palermo & Coltheart, 2004).”
• The Bodily Expressive Action Stimulus Test (BEAST). Construction and Validation of a Stimulus Basis for Measuring Perception of Whole Body Expression of Emotions (2011, result): “This contrasts with findings from facial expression studies, where recognition of happiness in faces is usually superior to recognition of negative emotions (e.g., Milders et al., 2003; Goeleven et al., 2008).”
• Deep Facial Expression Recognition: A Survey (2018, background): “KDEF [42] 4,900 images 70 Lab P seven basic expressions http://www.”
• Emotional Interference in Working Memory is Related to Rumination (2012, methodology): “58) faces were selected from a validation study of the KDEF picture set (Goeleven et al. 2008).”
• Presentation and validation of the Radboud Faces Database (2010, result): “The overall 82% agreement rate found between intended and chosen expressions was high, lying about 11% beyond that reported in a recent validation study of the Karolinska Directed Emotional Faces database (KDEF; Goeleven, De Raedt, Leyman, & Verschuere, 2008 ; Lundqvist, Flykt, & Ohman, 1998 ).”
• Insular intracranial activity identifies multiple facial expressions via diverse, intermixed temporal patterns at the single-contact level (2026, unknown): “The performance was consistent with previous reports 27 , indicating that the subjects understood the task and complied with the task instruction.”