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  2. List of facial expression databases - Wikipedia

    en.wikipedia.org/wiki/List_of_facial_expression...

    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 ...

  3. Elasticsearch - Wikipedia

    en.wikipedia.org/wiki/Elasticsearch

    Elasticsearch is a search engine based on Apache Lucene. It provides a distributed, multitenant -capable full-text search engine with an HTTP web interface and schema-free JSON documents. Official clients are available in Java , [ 2 ] .NET [ 3 ] ( C# ), PHP , [ 4 ] Python , [ 5 ] Ruby [ 6 ] and many other languages. [ 7 ]

  4. List of emoticons - Wikipedia

    en.wikipedia.org/wiki/List_of_emoticons

    A simple smiley. 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.

  5. Kibana - Wikipedia

    en.wikipedia.org/wiki/Kibana

    The combination of Elasticsearch, Logstash, and Kibana, referred to as the "Elastic Stack" (formerly the "ELK stack"), is available as a product or service. [6] Logstash provides an input stream to Elasticsearch for storage and search, and Kibana accesses the data for visualizations such as dashboards. [ 7 ]

  6. File:OMORI Emotions Chart.svg - Wikipedia

    en.wikipedia.org/wiki/File:OMORI_Emotions_Chart.svg

    You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses ...

  7. Emotion recognition - Wikipedia

    en.wikipedia.org/wiki/Emotion_recognition

    Text data is a favorable research object for emotion recognition when it is free and available everywhere in human life. Compare to other types of data, the storage of text data is lighter and easy to compress to the best performance due to the frequent repetition of words and characters in languages.

  8. Affective computing - Wikipedia

    en.wikipedia.org/wiki/Affective_computing

    The face expresses a great deal of emotion, however, there are two main facial muscle groups that are usually studied to detect emotion: The corrugator supercilii muscle, also known as the 'frowning' muscle, draws the brow down into a frown, and therefore is the best test for negative, unpleasant emotional response.↵The zygomaticus major ...

  9. Differential Emotions Scale - Wikipedia

    en.wikipedia.org/wiki/Differential_Emotions_Scale

    The name Differential Emotions Scale came from the examination of verbal labels and facial expressions. Research have shown that participants of different backgrounds (i.e. ethnicity, culture, language) are all able to agree on and can differentiate different facial expressions among the fundamental emotions.