Audience Feedback Analysis using Emotion Recognition

Image Processing is the major rising technique in the modern world of AI based systems. Emotion recognition is one of the topic inside the Artificial intelligence machine learning Techniques. Emotion Recognition is basically reading an individual’s mind and present mental state by analysing the facial Expression, body posture and gesture and speech. By doing so, one can able to judge whether the individual is interested in the ongoing activity or not. The core functionality of the Audience Feedback Analysis Using Emotion Recognition is to capture and analyze the facial expression of every individual sitting in any seminar/talk/lecture/keynote and provide an an analysis of the average emotional state of the gathering during or at the end. The primary objective of the proposed system is to provide the organizer or the administrator of the event with the actual and unbiased feedback by analysing the same through the expressions of the gathering for the whole time or at some interval of time.

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Audience Feedback Analysis using Emotion Recognition

Semantic Scholar · Computer Science · 2020

Abstract

Image Processing is the major rising technique in the modern world of AI based systems. Emotion recognition is one of the topic inside the Artificial intelligence machine learning Techniques. Emotion Recognition is basically reading an individual’s mind and present mental state by analysing the facial Expression, body posture and gesture and speech. By doing so, one can able to judge whether the individual is interested in the ongoing activity or not. The core functionality of the Audience Feedback Analysis Using Emotion Recognition is to capture and analyze the facial expression of every individual sitting in any seminar/talk/lecture/keynote and provide an an analysis of the average emotional state of the gathering during or at the end. The primary objective of the proposed system is to provide the organizer or the administrator of the event with the actual and unbiased feedback by analysing the same through the expressions of the gathering for the whole time or at some interval of time.

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