A method for obtaining 3-dimensional facial expressions and its standardization for use in neurocognitive studies.

By Ruben C. Gur, Radim Sára, Michiel Hagendoorn, Oren Marom, P. Hughett, Larry Macy, Travis Turner, Ruzena Bajcsy, Aaron Posner, Raquel E. Gur. Journal of Neuroscience Methods, 2002

652 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/af64a1e32d812fae7736fedd0212b5b2c602a4b3

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. Ruben C. Gur
2. Raquel E. Gur
3. Manuel G. Calvo
4. Richard A. Bryant
5. H. Marrero

In Computer Vision and Pattern Recognition

1. Monica E. Calkins
2. Ruben C. Gur
3. Raquel E. Gur
4. Christos Davatzikos

Citations in the corpus

• The NimStim set of facial expressions: judgments from untrained research participants. (2009, neutral): “Issues like these have motivated researchers to create their own stimuli (Hart et al., 2000; Phelps et al., 2000; Gur et al., 2002; Batty and Taylor, 2003; Phelps et al., 2003; Tanaka et al., 2004).”
• Visual search of emotional faces: The role of affective content and featural distinctiveness (2009, methodology): “These could be partly due to the fact that totally different stimuli were used in the Kohler et al. (Gur et al., 2002, stimuli) and the current study (KDEF database), and that Kohler et al. used only faces that showed extreme intensity emotions and each actor was assigned to only one emotion,…”
• Facial emotion perception in schizophrenia: a meta-analytic review. (2010, background): “While early investigations included nonstandardized emotional stimuli, many subsequent studies employed face stimuli developed by Ekman and Friesen(15) or Gur et al.(16) The black and white stimuli created by Ekman and Friesen(15) consist of posed facial expressions of universally recognized emotion”
• Controlling for Response Biases Clarifies Sex and Age Differences in Facial Affect Recognition (2010, background): “The recognition of emotion from faces has been linked to successful interpersonal functioning (Carstensen et al. 1998), relationship well-being (Carton et al. 1999), overall life satisfaction (Ciarrochi et al. 2000), and work skills such as negotiation abilities ( Elfenbein et al. 2007 ).”
• A cognitive neuroscience based computerized battery for efficient measurement of individual differences: Standardization and initial construct validation (2009, methodology): “We used the 40-item facial affect identification Emotion Recognition test (ER-40; the method for its development was described earlier in this journal, Gur et al., 2002a).”
• Age group and sex differences in performance on a computerized neurocognitive battery in children age 8–21 (2012, neutral): “The facial stimuli are balanced for sex, age, and ethnicity (Carter et al., 2008; Gur et al., 2002; Gur et al., 2006; Mathersul et al., 2008).”
• Trauma modulates amygdala and medial prefrontal responses to consciously attended fear (2006, background): “Fearful face stimuli have been found to be a robust and reliable probe for amygdala activity (Hariri et al., 2002; Phan et al., 2002).”