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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 .
The original Blob Tree was created in the early 1980s [2] by Pip Wilson and Ian Long as a way of communicating with young people and adults who found reading difficult. [3] The Blob Tree collection consists of a set of illustrations of blob figures in various poses and expressions, each representing a different emotion or feeling. [4]
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 ...
As opposed to the IAPS, all OASIS images are in the public domain. A detailed description is provided on the first author's homepage. Other alternative databases of photographic images of scenes with various kinds of affective content include: Besançon Affective Picture Set-adult (BAPS-Adult) [20] Categorized Affective Pictures Database (CAP-D ...
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]
Another classic study found that when participants contorted their facial muscles into distinct facial expressions (for example, disgust), they reported subjective and physiological experiences that matched the distinct facial expressions. Ekman's facial-expression research examined six basic emotions: anger, disgust, fear, happiness, sadness ...
The forced choice method determines the emotion attributed to the facial expressions via the labels that are presented. [26] That is, participants will select the best match to the facial expression even if it is not the emotion label they would have provided spontaneously and even if they would not have labeled the expression as an emotion at all.
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 ...