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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). However, some databases include the emotion tagging in continuous ...
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
This happy face had hair, a nose, teeth, pie eyes, and triangles over the eyes. [74] In 1953 and 1958, similar happy faces were used in promotional campaigns for the films Lili (1953) and Gigi (1958). [75] Happy faces in northeastern United States, and later in the entire country, became a "common theme" within advertising circles from the ...
The scale shows a series of faces ranging from a happy face at 0, or "no hurt", to a crying face at 10, which represents "hurts like the worst pain imaginable". Based on the faces and written descriptions, the patient chooses the face that best describes their level of pain. [1] There are 6 faces in the Wong-Baker Pain Scale.
The Blob Tree was created by Pip Wilson & Ian Long. Recognising the need for a non-verbal, universally accessible tool for emotional expression and communication, they developed the Blob Tree as a way to bridge language and cultural barriers and make emotional expression more accessible to people of different ages and backgrounds.
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 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 ...