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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.
This is an ideal method of qualitative research for those who are naturally visual learners. Also, our brain processes visuals differently from verbal communication. Therefore, photographs may also help to alleviate certain social anxieties that arise when discussing "difficult emotional subjects," such as illness, death, poverty, etc. [7]
The mass communication of images has made spread of news and information a much quicker process. As a result, certain images may go "viral", meaning the image may have been shared and seen by a large number of audiences, and attracted mainstream media attention. [24] Images are utilized in a variety of ways for a number of purposes.
In the process of encoding, the sender (i.e. encoder) uses verbal (e.g. words, signs, images, video) and non-verbal (e.g. body language, hand gestures, face expressions) symbols for which he or she believes the receiver (that is, the decoder) will understand. The symbols can be words and numbers, images, face expressions, signals and/or actions.
Visual communication is the use of visual elements to convey ideas and information which include (but are not limited to) signs, typography, drawing, graphic design, illustration, industrial design, advertising, animation, and electronic resources. [1] This style of communication relies on the way one's brain perceives the outside images.
Facial expression, a vital part of interpersonal communication as a support for verbal communication, is replaced in this form and reflected through emojis, acronyms, etc. [9] Most of the non-verbal aspects, such as eye contact and posture, cannot be seen through the mediated forum; hence, some feedback is lost regarding our interest level ...
PCS for Non-verbal communication. Picture communication symbols (PCS) are a set of colour and black & white drawings originally developed by Mayer-Johnson, LLC for use in augmentative and alternative communication (AAC) systems. These AAC systems may be high-tech, such as the TD Pilot, or low-tech such as a communication board.
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.