ReviewFrontiers in psychology2020
Detection of Genuine and Posed Facial Expressions of Emotion: Databases and Methods.
Review in Frontiers in psychology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 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
- The Beauty Health Index (BHI): A Proposed Framework for Quantifying Facial Aesthetic Health.Cureus · 2026Review
- Mismatching Expressions: Spatiotemporal and Kinematic Differences in Autistic and Non-Autistic Facial Expressions.Autism research : official journal of the International Society for Autism Research · 2026Article
- A Review of 25 Spontaneous and Dynamic Facial Expression Databases of Basic Emotions.Affective science · 2025Review
- 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
- Can deepfakes be used to study emotion perception? A comparison of dynamic face stimuli.Behavior research methods · 2024Article
- Can micro-expressions be used as a biomarker for autism spectrum disorder?Frontiers in neuroinformatics · 2024Article
- Holistic processing and visual characteristics of regulated and spontaneous expressions.Journal of vision · 2023Article
- What is missing in the study of emotion expression?Frontiers in psychology · 2023Review
- Genetic algorithms reveal profound individual differences in emotion recognition.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Facial expression recognition based on active region of interest using deep learning and parallelism.PeerJ. Computer science · 2022Article
- Review: Posed vs. Genuine Facial Emotion Recognition and Expression in Autism and Implications for Intervention.Frontiers in psychology · 2021Review
- Automated facial recognition system using deep learning for pain assessment in adults with cerebral palsy.Digital healthArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Facial expressions of emotion play an important role in human social interactions. However, posed expressions of emotion are not always the same as genuine feelings. Recent research has found that facial expressions are increasingly used as a tool for understanding social interactions instead of personal emotions. Therefore, the credibility assessment of facial expressions, namely, the discrimination of genuine (spontaneous) expressions from posed (deliberate/volitional/deceptive) ones, is a crucial yet challenging task in facial expression understanding. With recent advances in computer vision and machine learning techniques, rapid progress has been made in recent years for automatic detection of genuine and posed facial expressions. This paper presents a general review of the relevant research, including several spontaneous vs. posed (SVP) facial expression databases and various computer vision based detection methods. In addition, a variety of factors that will influence the performance of SVP detection methods are discussed along with open issues and technical challenges in this nascent field.
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