Abstract
Emotions play a powerful role in people's thinking and behaviors. Emotions act as a compulsion to take any action and can influence daily life decisions. Human facial expressions show humans share the same set of emotions. From the setting, the concept of emotion-sensing facial recognition was brought up. Humans have been working actively on computer vision algorithms, the algorithm will help determine the emotions of an individual and can determine the set of intentions accompanied by the emotions. The emotion-sensing facial expression computers are designed using data-centric skills in machine learning and can achieve their desired work by emotion identification and a set of intentions related to the emotion obtained.
Highlights
This paper consists of the study in computer recognition of emotions based on the individual's facial expressions
To use as a facial recognition mechanism, face texture is encoded with local binary patterns and the feature is used as an emotion recognition mechanism
Emotion recognition was not considered at the early stages of its introduction because it was associated with errors in codes
Summary
A large percentage of human communications is through facial expressions (Mehta, 2018). Emotion detection can be applied in various fields, one of the applications is in the evaluation of job applicants, and this application helps companies to evaluate the state of mind and the integrity of the various employees. Such artificial intelligence is applied by corporations for entry-level job evaluation. After an online job application, the interviewers are administered a video interview At this stage, the artificial intelligence enters their pictures into the system where their moods and state of mind are evaluated. The criminal justice system is adopting artificial intelligence for various alleged's evaluations
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