FACE: Facial Automaton for Conveying Emotions

Trigger Features for Conveying Facial Expressions: The Role of Segmentation

Primates are especially good at recognizing facial expression using two contrasting strategies-an individual diagnostic feature (e.g., raise eyebrows or lower mouth corner) versus a relationship between features. We report several novel experiments that demonstrate a profound role of grouping and segmentation-including stereo-on recognition of facial expressions.

Facial Emotions Recognition System for Autism

Face recognition refers to an individual's understanding and interpretation of the human face especially in relation to the associated information processing in the brain. Autism Spectrum Disorder (ASD) is a comprehensive neural developmental disorder that produces many deficits including social, communicative and perceptual. Individuals with autism exhibit difficulties in various aspects of fa...

Facial Expressions of Emotions for Virtual Characters

Facial Expression Recognition Based on Anatomical Structure of Human Face

Automatic analysis of human facial expressions is one of the challenging problems in machine vision systems. It has many applications in human-computer interactions such as, social signal processing, social robots, deceit detection, interactive video and behavior monitoring. In this paper, we develop a new method for automatic facial expression recognition based on facial muscle anatomy and hum...

Decoding Emotions from Facial Animations

Facial feature point tracking is used as a primary input in several systems that perform affect recognition using facial expressions. To determine the efficacy of automatically extracted facial feature points in encoding emotional content, we conducted an experiment that compared human raters judgements of emotional expressions between actual video clips and three automatically generated repres...