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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 .
This is a list of emoticons or textual portrayals of a writer's moods or facial expressions in the form of icons. Originally, these icons consisted of ASCII art, and later, Shift JIS art and Unicode art. In recent times, graphical icons, both static and animated, have joined the traditional text-based emoticons; these are commonly known as ...
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.
In discrete emotion theory, all humans are thought to have an innate set of basic emotions that are cross-culturally recognizable.These basic emotions are described as "discrete" because they are believed to be distinguishable by an individual's facial expression and biological processes. [1]
According to Ekman (1992), each of these emotions have universally corresponding facial expressions as well. [ 13 ] In addition to the facial expressions that are said to accompany each emotion, there is also evidence to suggest that certain autonomic nervous system (ANS) activity is associated with the three emotions of fear, anger, and disgust.
For example, when Western individuals are asked to identify an emotional expression on a specific face, in an experimental task, they focus on the target's facial expression. Japanese individuals use the information of the surrounding faces to determine the emotional state of the target face. [ 29 ]
Emotient was a startup company which applied emotion recognition to reading frowns, smiles, and other expressions on faces, namely artificial intelligence to predict "attitudes and actions based on facial expressions". [40] Apple bought Emotient in 2016 and uses emotion recognition technology to enhance the emotional intelligence of its ...
For this project, the software was extended by Erik Marchi in order to teach emotional expression to autistic children, based on automatic emotion recognition and visualization. In 2013, the company audEERING acquired the rights to the code-base from the Technical University of Munich and version 2.0 was published under a source-available ...