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A facial expression database is a collection of images or video clips with facial expressions of a range of emotions. Well-annotated ( emotion -tagged) media content of facial behavior is essential for training, testing, and validation of algorithms for the development of expression recognition systems .
Voluntary facial expressions are often socially conditioned and follow a cortical route in the brain. Conversely, involuntary facial expressions are believed to be innate and follow a subcortical route in the brain. Facial recognition can be an emotional experience for the brain and the amygdala is highly involved in the recognition process.
The development of FACS tools for different species allows the objective and anatomical study of facial expressions in communicative and emotional contexts. Furthermore, a cross-species analysis of facial expressions can help to answer interesting questions, such as which emotions are uniquely human. [21]
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The facial feedback hypothesis, rooted in the conjectures of Charles Darwin and William James, is that one's facial expression directly affects their emotional experience. . Specifically, physiological activation of the facial regions associated with certain emotions holds a direct effect on the elicitation of such emotional states, and the lack of or inhibition of facial activation will ...
The basic emotion view brought Ekman to create the Facial Action Coding System (FACS) and Facial Expression Awareness Compassion Emotions (FACE). FACS is a database of compiled facial expressions, wherein each facial movement is termed an action unit (AU). FACE explains how to become keen at observing emotion in the faces of others.
The muscles of the face play a prominent role in the expression of emotion, [1] and vary among different individuals, giving rise to additional diversity in expression and facial features. [29] Variations of the risorius, triangularis and zygomaticus muscles. People are also relatively good at determining if a smile is real or fake.
Microexpressions can be difficult to recognize, but still images and video can make them easier to perceive. In order to learn how to recognize the way that various emotions register across parts of the face, Ekman and Friesen recommend the study of what they call "facial blueprint photographs", photographic studies of "the same person showing all the emotions" under consistent photographic ...