ArticleFrontiers in psychology2021
Spontaneous Facial Expressions and Micro-expressions Coding: From Brain to Face.
Article in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 30 citations in OpenAlex.
- The Micro-Expression Decoder: A Preliminary Mixed-Methods Evaluation of Training in Subtle Facial and Non-Verbal Cue Recognition in Final-Year Medical Students.Clinics and practice · 2026Article
- The other Babinski sign in Hemifacial Spasm: a clinical marker of severity and its predictive association with η-like vA-PICA compression.Annals of medicine · 2025Observational
- Graph-Driven Micro-Expression Rendering with Emotionally Diverse Expressions for Lifelike Digital Humans.Biomimetics (Basel, Switzerland) · 2025Article
- 3D Micro-Expression Recognition Based on Adaptive Dynamic Vision.Sensors (Basel, Switzerland) · 2025Article
- Comparative analysis of electrical signals in facial expression muscles.Biomedical engineering online · 2025Article
- Mental states and personality based on real-time physical activity and facial expression recognition.Frontiers in psychiatry · 2022Article
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Authors and funding
6 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Facial expressions are a vital way for humans to show their perceived emotions. It is convenient for detecting and recognizing expressions or micro-expressions by annotating a lot of data in deep learning. However, the study of video-based expressions or micro-expressions requires that coders have professional knowledge and be familiar with action unit (AU) coding, leading to considerable difficulties. This paper aims to alleviate this situation. We deconstruct facial muscle movements from the motor cortex and systematically sort out the relationship among facial muscles, AU, and emotion to make more people understand coding from the basic principles: We derived the relationship between AU and emotion based on a data-driven analysis of 5,000 images from the RAF-AU database, along with the experience of professional coders.We discussed the complex facial motor cortical network system that generates facial movement properties, detailing the facial nucleus and the motor system associated with facial expressions.The supporting physiological theory for AU labeling of emotions is obtained by adding facial muscle movements patterns.We present the detailed process of emotion labeling and the detection and recognition of AU. Based on the above research, the video's coding of spontaneous expressions and micro-expressions is concluded and prospected.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.