Emotional Recognition of Students through Facial Expressions: A Deep Learning Approach using Convolutional Neural Network

Registration ID: IJNRD_223054

Published ID: IJNRD2406067

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Sree Rachnae Shyam, Shreyansh Tripathi, Raj Aryan, R Indra

Convolutional Neural Network, Facial Expression, Emotional Recognition, Emotions

Recognising emotions of humans using their facial expressions is an interesting research which has been previously taken up by many researchers in fields such as safety, health and human machine interfaces. One of the most widely used techniques for this application is using various Deep Learning methods. We have taken the approach of using the Deep Learning method of Convolutional Neural Networks. The key aspect of this paper is to make a study of how to imbibe Deep Learning in order to perform emotional recognition of students with the help of their facial expressions and give it as an input to their respective teachers or counsellors. Facial expressions play a vital in determining and analysing emotions showcased by students. Deep learning and image classification methods are used for perceiving expressions and classify them according to the images. Various datasets are used for training such recognition models.

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Sree Rachnae Shyam, Shreyansh Tripathi, Raj Aryan, & R Indra (June-2024). Emotional Recognition of Students through Facial Expressions: A Deep Learning Approach using Convolutional Neural Network. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 9(6), a700-a708. https://ijnrd.org/papers/IJNRD2406067.pdf

Volume 9 Issue 6, June-2024

Pages : a700-a708

Paper Reg. ID: IJNRD_223054

Published Paper Id: IJNRD2406067

Downloads: 000122034

Research Area: Engineering

Author Type: Indian Author

Country: Bangalore, Karnataka, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2406067.pdf

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

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