An in-depth Review on Cartoon Emotion prediction through Deep Learning
Author(s):
Virbala Nalawade, Bogiri Nagaraju
Keywords:
Convolutional Neural Networks, Emotion Dictionary Fussy Classification ,Supervised Learning
Abstract
Interpersonal interaction includes not just cognitive interchange but also the transmission of relevant sentiments. While most people are naturally good at detecting others' emotional states, the sensitivity of distinguishing significant feelings is heavily reliant on face recognition. This is natural for a human being to be able to understand the subject’s emotional state through minimal interaction and through observation of the facial characteristics quickly and easily. This approach is highly difficult to achieve through the use of computer vision techniques. This is a complex scientific research and an engineering problem that requires extensive analysis or assessment to achieve the emotion recognition with reasonable accuracy. For this purpose there has been an in-depth evaluation of the related works in emotion recognition which have been crucial in the realization of our approach for cartoon emotion recognition through the use of Convolutional Neural Networks and will be elaborated further in the upcoming editions of this research article.
Article Details
Unique Paper ID: 153941

Publication Volume & Issue: Volume 8, Issue 9

Page(s): 268 - 272
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