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Spontaneous Facial Expressions and Micro-expressions Coding: From Brain to Face
1. 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. 2. We discussed the complex facial motor cortical network system that generates facial movement properties, detailing the...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8763852/ https://www.ncbi.nlm.nih.gov/pubmed/35058850 http://dx.doi.org/10.3389/fpsyg.2021.784834 |
Sumario: | 1. 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. 2. 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. 3. The supporting physiological theory for AU labeling of emotions is obtained by adding facial muscle movements patterns. 4. 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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