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Surprise can occur in varying levels of intensity ranging from very surprised, which may induce the fight-or-flight response, or slightly surprised, which elicits a less intense response to the stimulus. Surprise is included as a primary or basic emotion in the taxonomies of Carroll Izard and Paul Ekman. According to these perspectives ...
The emotion annotation can be done in discrete emotion labels or on a continuous scale. Most of the databases are usually based on the basic emotions theory (by Paul Ekman ) which assumes the existence of six discrete basic emotions (anger, fear, disgust, surprise, joy, sadness).
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 ...
However, an equals sign, a number 8, a capital letter B or a capital letter X are also used to indicate normal eyes, widened eyes, those with glasses or those with crinkled eyes, respectively. Symbols for the mouth vary, e.g. ")" for a smiley face or "(" for a sad face. One can also add a "}" after the mouth character to indicate a beard.
Emotion classification, the means by which one may distinguish or contrast one emotion from another, is a contested issue in emotion research and in affective science. Researchers have approached the classification of emotions from one of two fundamental viewpoints: [citation needed] that emotions are discrete and fundamentally different constructs
Furthermore, a cross-species analysis of facial expressions can help to answer interesting questions, such as which emotions are uniquely human. [21] The Emotional Facial Action Coding System (EMFACS) [22] and the Facial Action Coding System Affect Interpretation Dictionary (FACSAID) [23] consider only emotion-related facial actions. Examples ...
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Therefore, it is possible to track tiny movements of facial muscles in individuals’ face and translate them into universal facial expressions that convey happiness, surprise, sadness, anger and others. An algorithm developed by EyeSee can detect the following seven emotions: happiness, surprise, puzzle, disgust, fear, sadness and neutral.