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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 .
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]
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 ]
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]
The universality hypothesis is the assumption that certain facial expressions and face-related acts or events are signals of specific emotions (happiness with laughter and smiling, sadness with tears, anger with a clenched jaw, fear with a grimace, or gurn, surprise with raised eyebrows and wide eyes along with a slight retraction of the ears ...
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.
Social situations induce facial expressions in toddlers and children in early childhood, although there is not enough evidence to indicate that they understand these expressions as emotions. For example, a young child could express sadness when his or her mother is in the room in order to elicit a nurturing reaction from her. [ 2 ]
Facial coding is the process of measuring human emotions through facial expressions. Emotions can be detected by computer algorithms for automatic emotion recognition that record facial expressions via webcam. This can be applied to better understanding of people’s reactions to visual stimuli.