Emotion Detection from Facial Expressions Using Frame-Based Deep Networks

Le résumé fourni par la source

Expressions are applied in personal health and social interactions, as expressions give information about the manner in which our emotional life is shared. There are different expressions that are developed in the human body, such as facial expressions, body expressions, vocal expressions, linguistic expressions, eye expressions, and behavioral expressions. Identifying expressions is the secret to success in both personal and business life. Knowledge of facial expressions is very important in the process of identifying the emotions of a person. Facial expressions are the most important aspect of the relationship of nonverbal communication that exists between individuals. The emotions are the point of focus of the concept, and the introduction of the concept of cognitive emotions AI, an AI system that is utilized for the recognition of the emotions present in the facial expressions of individuals in real time. In this case, the point of focus is only on some universal emotions, which include happiness, anger, sadness, love, surprise, fear, and indifference. There are different AI systems that are utilized in this process for the identification of the emotions that are recognized. The process of preprocessing, extracting the information, and the final prediction of the emotions of the subject occur as the system receives the input image.

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