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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 .
Voluntary facial expressions are often socially conditioned and follow a cortical route in the brain. Conversely, involuntary facial expressions are believed to be innate and follow a subcortical route in the brain. Facial recognition can be an emotional experience for the brain and the amygdala is highly involved in the recognition process.
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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]
Facial expression is an important part of body language and the expression of emotion.It can comprise movement of the eyes, eyebrows, lips, nose and cheeks. At one point, researchers believed that making a genuine smile was nearly impossible to do on command.
Looping is where facial expressions can elicit involuntary behavior. In the research motor mimicry there shows neurons that pick up on facial expressions and communicate with motor neurons responsible for muscles in the face to display the same facial expression. Thus displaying a smile may elicit a micro expression of a smile on someone who is ...
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.
In 1978 Ekman and Friesen updated Facial Action Coding System (FACS), originally developed by a Swedish anatomist Carl-Herman Hjortsjö. [7] [8] FACS is a tool for classification of all facial expressions that humans can make. Each component of facial movement is called an action unit (AU) and all facial expressions can be broken down to action ...