Aesthetic appreciation is a complex cognitive processing with inherent aspects of cold as well as hot cognition. Research from the last decades of empirical has shown that evaluations of aesthetic appreciation are highly reliable. Most frequently, facial attractiveness was used as the corner case for investigating aesthetic appreciation. Evaluating facial attractiveness shows indeed high intern...

provides means of quantitative estimation of facial weakness. Graphic presenta tion of the dynamic aspects of facial weakness was made possible by recording of interlabial pressure through a pressure transducer during whistle action, recording of resistance changes between two electrodes produced by wrinkle and smile actions, and by recording of blinking speed with an electronystagmography. The...

Emotional facial expressions are indispensable communicative tools, and social interactions involving facial expressions are impaired in some psychiatric disorders. Recent studies revealed that the perception of dynamic facial expressions was exaggerated in normal participants, and this exaggerated perception is weakened in autism spectrum disorder (ASD). Based on the notion that ASD and schizo...

Humans' experience of emotion and comprehension of affective cues varies substantially across the lifespan. Work in cognitive and affective neuroscience has begun to characterize behavioral and neural responses to emotional cues that systematically change with age. This review examines work to date characterizing the maturation of facial expression comprehension, and dynamic changes in amygdala...

In this paper we present a framework for generating dynamic facial expressions synchronized with speech, rendered using a tridimensional realistic face. Dynamic facial expressions are those temporal-based facial expressions semantically related with emotions, speech and affective inputs that can modify a facial animation behavior. The framework is composed by an emotion model for speech virtual...

The identification of basic emotions (anger, disgust, fear, happiness, sadness and surprise) has been studied widely from pictures of facial expressions. Until recently, the role of dynamic information in identifying facial emotions has received little attention. There is evidence that dynamics improves the identification of basic emotions from synthetic (computer-animated) facial expressions [...

Automatic facial image analysis is a long standing research problem in computer vision. A key component in facial image analysis, largely conditioning the success of subsequent algorithms (e.g. facial expression recognition), is to define a vocabulary of possible dynamic facial events. To date, that vocabulary has come from the anatomically based Facial Action Coding System (FACS) or taxonomies...

Automatic facial image analysis is a long standing research problem in computer vision. A key component in facial image analysis, largely conditioning the success of subsequent algorithms (e.g. facial expression recognition), is to define a vocabulary of possible dynamic facial events. To date, that vocabulary has come from the anatomically based Facial Action Coding System (FACS) or taxonomies...

The ability to perceive facial motion is important to successfully interact in social environments. Previously, imaging studies have investigated neural correlates of facial motion primarily using abstract motion stimuli. Here, we studied how the brain processes natural non-rigid facial motion in direct comparison to static stimuli and matched phasescrambled controls. As predicted from previous...