Facial expressions arise from brain networks that encode slow, context-rich meaning and fast muscle control on different time scales, keeping smiles and threats socially precise.

Multiface analysis in action explores advanced methods for studying facial expressions in dyads, focus groups, and audience testing to uncover group emotions ...

Researchers at the University of Rochester are analyzing facial muscle movements through videos taken over webcams or smartphones to train a machine learning algorithm with the hope that it can ...

Researchers have now developed a novel artificial intelligence-based facial analysis tool to uncover subtle differences in eye and mouth movements linked to subthreshold depression. These non-verbal ...

Researchers used an algorithm to allow people to refine what they thought the facial expression of a particular emotion should look like. The results show profound individual differences, suggesting ...

Facial expressions are widely recognized as universal indicators of underlying internal states in most species of animals, thereby presenting as a non-invasive measure for assessing physical and ...

Nonverbal communication can be just as important—if not more important—than verbal communication for actors. Whether it’s Claire Danes’ furrowed brow as Carrie Mathison in “Homeland” or Jack Gleeson’s ...