scholarly journals Facial Expressions Depicting Compassionate and Critical Emotions: The Development and Validation of a New Emotional Face Stimulus Set

PLoS ONE ◽  
2014 ◽  
Vol 9 (2) ◽  
pp. e88783 ◽  
Author(s):  
Kirsten McEwan ◽  
Paul Gilbert ◽  
Stephane Dandeneau ◽  
Sigrid Lipka ◽  
Frances Maratos ◽  
...  
Keyword(s):  
Facial Expressions ◽  
Face Stimulus ◽  
Stimulus Set ◽  
Emotional Face ◽  
Development And Validation

scholarly journals Neuropsychology of facial expressions. The role of consciousness in processing emotional faces

2012 ◽  
Author(s):  
Michela Balconi
Keyword(s):  
Facial Expressions ◽  
Event Related Potentials ◽  
Emotional Information ◽  
Unconscious Processing ◽  
Emotional Faces ◽  
Facial Expression Of Emotion ◽  
Expression Of Emotion ◽  
Brain Correlates ◽  
Related Potentials ◽  
Emotional Face

Neuropsychological studies have underlined the significant presence of distinct brain correlates deputed to analyze facial expression of emotion. It was observed that some cerebral circuits were considered as specific for emotional face comprehension as a function of conscious vs. unconscious processing of emotional information. Moreover, the emotional content of faces (i.e. positive vs. negative; more or less arousing) may have an effect in activating specific cortical networks. Between the others, recent studies have explained the contribution of hemispheres in comprehending face, as a function of type of emotions (mainly related to the distinction positive vs. negative) and of specific tasks (comprehending vs. producing facial expressions). Specifically, ERPs (event-related potentials) analysis overview is proposed in order to comprehend how face may be processed by an observer and how he can make face a meaningful construct even in absence of awareness. Finally, brain oscillations is considered in order to explain the synchronization of neural populations in response to emotional faces when a conscious vs. unconscious processing is activated.

scholarly journals Emotional face recognition and EEG measures

2007 ◽  
Author(s):  
Walter Mahler ◽  
Sandra Reder
Keyword(s):  
Face Recognition ◽  
Selective Attention ◽  
Frequency Band ◽  
Cognitive Processes ◽  
Stimulus Type ◽  
Face Stimulus ◽  
Emotional Stimuli ◽  
Relevant Stimulus ◽  
Band Power ◽  
Emotional Face

Twenty one adults looked at emotional (sad, happy, fearful) or neutral faces. EEG measures showed that emotional significance of face (stimulus type) modulated the amplitude of EEG, especially for theta and delta frequency band power. Also, emotional discrimination by theta was more distributed on the posterior sites of the scalp for the emotional stimuli. Thus, this frequency band variation could represent a complex set of cognitive processes whereby selective attention becomes focused on an emotional-relevant stimulus.

scholarly journals The racially diverse affective expression (RADIATE) face stimulus set

2018 ◽  
Vol 270 ◽  
pp. 1059-1067 ◽  
Author(s):  
May I. Conley ◽  
Danielle V. Dellarco ◽  
Estee Rubien-Thomas ◽  
Alexandra O. Cohen ◽  
Alessandra Cervera ◽  
...  
Keyword(s):  
Face Stimulus ◽  
Racially Diverse ◽  
Affective Expression ◽  
Stimulus Set

scholarly journals Pain communication through body posture: The development and validation of a stimulus set

Pain ◽  
2014 ◽  
Vol 155 (11) ◽  
pp. 2282-2290 ◽  
Author(s):  
Joseph Walsh ◽  
Christopher Eccleston ◽  
Edmund Keogh
Keyword(s):  
Body Posture ◽  
Stimulus Set ◽  
Pain Communication ◽  
Development And Validation

scholarly journals A computer-generated animated face stimulus set for psychophysiological research

2014 ◽  
Vol 47 (2) ◽  
pp. 562-570 ◽  
Author(s):  
Adam Naples ◽  
Alyssa Nguyen-Phuc ◽  
Marika Coffman ◽  
Anna Kresse ◽  
Susan Faja ◽  
...  
Keyword(s):  
Face Stimulus ◽  
Stimulus Set ◽  
Psychophysiological Research

scholarly journals Presentation and validation of the DuckEES child and adolescent dynamic facial expressions stimulus set

2017 ◽  
Vol 26 (1) ◽  
pp. e1553 ◽  
Author(s):  
Nicole R. Giuliani ◽  
John C. Flournoy ◽  
Elizabeth J. Ivie ◽  
Arielle Von Hippel ◽  
Jennifer H. Pfeifer
Keyword(s):  
Facial Expressions ◽  
Child And Adolescent ◽  
Stimulus Set ◽  
Dynamic Facial Expressions

scholarly journals Experience And Emotional Face Processing In Infancy

2021 ◽  
Author(s):  
Kristina Safar
Keyword(s):  
Facial Expressions ◽  
Face Processing ◽  
Picture Book ◽  
Longitudinal Design ◽  
Paired Comparison ◽  
Potential Effect ◽  
Emotional Faces ◽  
Fearful Faces ◽  
Emotional Face Processing ◽  
Emotional Face

Experience is suggested to shape the development of emotion processing abilities in infancy. The current dissertation investigated the influence of familiarity with particular face types and emotional faces on emotional face processing within the first year of life using a variety of metrics. The first study examined whether experience with a particular face type (own- vs. other-race faces) affected 6- and 9-month-old infants’ attentional looking preference to fearful facial expressions in a visual paired-comparison (VPC) task. Six-month-old infants showed an attentional preference for fearful over happy facial expressions when expressed by own-race faces, but not other race-faces, whereas 9-month-old infants showed an attentional preference for fearful expressions when expressed by both own-race and other-race faces, suggesting that experience influences how infants deploy their attention to different facial expressions. Using a longitudinal design, the second study examined whether exposure to emotional faces via picture book training at 3 months of age affected infants’ allocation of attention to fearful over happy facial expressions in both a VPC and ERP task at 5 months of age. In the VPC task, 3- and 5-month-olds without exposure to emotional faces demonstrated greater allocation of attention to fearful facial expressions. Differential exposure to emotional faces revealed a potential effect of training: 5-month-olds infants who experienced fearful faces showed an attenuated preference for fearful facial expressions compared to infants who experienced happy faces or no training. Three- and 5-month-old infants did not, however, show differential neural processing of happy and fearful facial expressions. The third study examined whether 5- and 7-month-old infants can match fearful and happy faces and voices in an intermodal preference task, and whether exposure to happy or fearful faces influences this ability. Neither 5- nor 7-month-old infants showed intermodal matching of happy or fearful facial expressions, regardless of exposure to emotional faces. Overall, results from this series of studies add to our understanding of how experience influences the development of emotional face processing in infancy.

scholarly journals Dynamic Features Based on Flow-Correlation and HOG for Recognition of Discrete Facial Expressions

2020 ◽  
Vol 34 (5) ◽  
pp. 585-594
Author(s):  
Shivangi Anthwal ◽  
Dinesh Ganotra
Keyword(s):  
Interpersonal Communication ◽  
Facial Expressions ◽  
Visual Information ◽  
Human Cognition ◽  
Support Vector ◽  
Dynamic Features ◽  
Difference Image ◽  
Neutral Face ◽  
The Difference ◽  
Emotional Face

Facial expressions are the most preeminent means of conveying one’s emotions and play a significant role in interpersonal communication. Researchers are in pursuit of endowing machines with the ability to interpret emotions from facial expressions as that will make human-computer interaction more efficient. With the objective of effective affect cognition from visual information, we present two dynamic descriptors that can recognise seven principal emotions. The variables of the appearance-based descriptor, FlowCorr, indicate intra-class similarity and inter-class difference by quantifying the degree of correlation of optical flow associated with the image pair and each pre-designed template describing the motion pattern associated with different expressions. The second shape-based descriptor, dyn-HOG, finds the HOG values of the difference image derived by subtracting neutral face from emotional face, and is demonstrated to be more discriminative than previously used static HOG descriptors for classifying facial expressions. Recognition accuracies with multi-class support vector machine obtained on the CK+ and KDEF-dyn datasets are competent with the results of state-of-the-art techniques and empirical analysis of human cognition of emotions.

Development and validation of a cannabis cue stimulus set

2021 ◽  
Vol 112 ◽  
pp. 106643
Author(s):  
Richard J. Macatee ◽  
Meghan Carr ◽  
Kaveh Afshar ◽  
Thomas J. Preston
Keyword(s):  
Stimulus Set ◽  
Development And Validation
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