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Emotion recognition using artificial intelligence - a review

By: Gulrukh Shahab.
Contributor(s): Dua, Rakhi.
Publisher: Haryana IOSR - International Organization of Scientific Research 2022Edition: Vol.24(3), May-Jun.Description: 36-43p.Subject(s): Computer EngineeringOnline resources: Click here In: IOSR Journal of Computer Engineering (IOSR-JCE)Summary: Here, an overview of the work done in past related to emotion recognition using Artificial Intelligence is discussed. Emotion, a strong mental process involves n number of muscles. This n is decided by the type of emotion. Various emotions viz anger, happiness, sadness, grief, frowning, horror (terror, flight), surprise, doubt, grinning, contempt, whistling etc. require different number of muscle contraction, different pattern of muscle contraction. Human beings as well as several other living beings are built naturally to recognise and distinguish these and various other emotions not mentioned here. Sometimes there is a requirement that the different emotions can be recognised quickly and effectively many times faster than humans. Here comes the solution in the form of Artificial Intelligence. Some techniques like Support Vector Machine (SVM), Convolution Neural Network (CNN) are used to categorize emotions viz verbal, non-verbal, speech and various facial expression etc.
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Here, an overview of the work done in past related to emotion recognition using Artificial
Intelligence is discussed. Emotion, a strong mental process involves n number of muscles. This n is decided by
the type of emotion. Various emotions viz anger, happiness, sadness, grief, frowning, horror (terror, flight),
surprise, doubt, grinning, contempt, whistling etc. require different number of muscle contraction, different
pattern of muscle contraction. Human beings as well as several other living beings are built naturally to
recognise and distinguish these and various other emotions not mentioned here. Sometimes there is a
requirement that the different emotions can be recognised quickly and effectively many times faster than
humans. Here comes the solution in the form of Artificial Intelligence. Some techniques like Support Vector
Machine (SVM), Convolution Neural Network (CNN) are used to categorize emotions viz verbal, non-verbal,
speech and various facial expression etc.

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