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Book Recommendation Based on Emotion in the Online Library Using CNN

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Abstract:

The present pandemic situation has made people not go out anywhere because it’s getting difficult to learn the concepts briefly for both lecturers and students. Concepts are learned through videos, but reading is also an important aspect of learning. This paper talks about providing books and notes in online mode to read and recommend books based on facial expressions captured from the user. This paper aims to extract faces from an image, extract the expression (eyes and lips) from it and also classify them into six types of emotions, which are Happy, Fear, Anger, Surprise, Neutral and Sad. The algorithm used for facial expression recognition is the Convolutional Neural Network algorithm, also known as CNN.

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Periodical:

Advances in Science and Technology (Volume 124)

Pages:

219-227

DOI:

https://doi.org/10.4028/p-7z8z0v

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Online since:

February 2023

Authors:

R. Srinath*, Sai Siddharth Ravindran Gunnapudi, Laxmi Narasimha Kokkalla

Keywords:

Books, Convolutional Neural Network (CNN), Database, Expression, Facial, Model, Recommendation, User

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© 2023 Trans Tech Publications Ltd. All Rights Reserved

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* - Corresponding Author

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