Affective Science › Facial Action Unit Detection & Coding
Facial Action Unit Compound Effects and Co-Occurrence Modeling
This research develops probabilistic graphical models and recurrent neural networks to capture complex dependencies and co-occurrence patterns when multiple action units activate simultaneously. The investigation reveals grammatical structure of facial expression language and enables more accurate prediction of multi-action unit facial configurations.
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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal
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