ArticleBehavior research methods2023
Padova Emotional Dataset of Facial Expressions (PEDFE): A unique dataset of genuine and posed emotional facial expressions.
Article in Behavior research methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Exploring the Sensorimotor System's Role in Emotional Authenticity Discrimination: A ccPAS Study.Annals of the New York Academy of Sciences · 2026Article
- Preliminary evidence of kinematic overlap in posed, but not spontaneous, facial expressions of fear and surprise.Scientific reports · 2026Article
- Are patients with Parkinson's disease impaired in the recognition of emotion's authenticity?Journal of neuropsychology · 2025Article
- A Review of 25 Spontaneous and Dynamic Facial Expression Databases of Basic Emotions.Affective science · 2025Review
- Validation of the Emotionally Congruent and Incongruent Face-Body Static Set (ECIFBSS).Behavior research methods · 2025Article
- The portrait of Dorian Gray: spontaneous expression of happiness is an invariant kinematic marker.Frontiers in psychology · 2025Article
- The Emotion Authenticity Recognition (EAR) test: normative data of an innovative test using dynamic emotional stimuli to evaluate the ability to recognize the authenticity of emotions expressed by faces.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025Article
- ChillsDB 2.0: Individual Differences in Aesthetic Chills Among 2,900+ Southern California Participants.Scientific data · 2023Article
- The Spatiotemporal Dynamics of Facial Movements Reveals the Left Side of a Posed Smile.Biology · 2023Article
- What is missing in the study of emotion expression?Frontiers in psychology · 2023Review
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3 authors.
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Abstract
Facial expressions are among the most powerful signals for human beings to convey their emotional states. Indeed, emotional facial datasets represent the most effective and controlled method of examining humans' interpretation of and reaction to various emotions. However, scientific research on emotion mainly relied on static pictures of facial expressions posed (i.e., simulated) by actors, creating a significant bias in emotion literature. This dataset tries to fill this gap, providing a considerable amount (N = 1458) of dynamic genuine (N = 707) and posed (N = 751) clips of the six universal emotions from 56 participants. The dataset is available in two versions: original clips, including participants' body and background, and modified clips, where only the face of participants is visible. Notably, the original dataset has been validated by 122 human raters, while the modified dataset has been validated by 280 human raters. Hit rates for emotion and genuineness, as well as the mean, standard deviation of genuineness, and intensity perception, are provided for each clip to allow future users to select the most appropriate clips needed to answer their scientific questions.
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