Biologically vs. Logic Inspired Encoding of Facial Actions and Emotions in Video

Automatic facial expression analysis is an important aspect of Human Machine Interaction as the face is an important communicative medium. We use our face to signal interest, disagreement, intentions or mood through subtle facial motions and expressions. Work on automatic facial expression analysis can roughly be divided into the recognition of prototypic facial expressions such as the six basic emotional states and the recognition of atomic facial muscle actions (Action Units, AUs). Detection of AUs rather than emotions makes facial expression detection independent of culture-dependent interpretation, reduces the dimensonality of the problem and reduces the amount of training data required. Classic psychological studies suggest that humans consciously map AUs onto the basic emotion categories using a finite number of rules. On the other hand, recent studies suggest that humans recognize emotions unconsciously with a process that is perhaps best modeled by artificial neural networks...

• Type: Conference
• Year: 2006
• Where: ICMCS
• Authors: Michel François Valstar, Maja Pantic
• Keywords: Automatic Facial Expression, Facial Expression, Facial Expression Analysis, ICMCS 2006