Facial Emotion Recognition using Deep Learning (FERDL)-Reference-Cited by-同舟云学术

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Facial Emotion Recognition using Deep Learning (FERDL)

Published:2023-11-17 Issue: Volume:5 Page:1-4
ISSN:
Container-title:2023 25th International Multitopic Conference (INMIC)
language:
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Author:

Ramzan Hafiz Arslan¹,Sohaib Ahmed¹,Ramzan Sadia²,Kalsum Tehmina³,Aqeel Muhammad¹,Majeed Mohsin¹

Affiliation:

1. Khwaja Fareed University of Engineering and Information Technology,Institute of Computer and Software Engineering,Rahim Yar Khan,Pakistan

2. National University of Modern Languages,Department of Computer Science,Multan,Pakistan

3. University of Engineering & Technology,Department of Software Engineering,Taxila,Pakistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10465673/10465676/10466203.pdf?arnumber=10466203

Reference23 articles.

1. Deciphering the Enigmatic Face: The Importance of Facial Dynamics in Interpreting Subtle Facial Expressions

2. New theoretical approaches for human-computer interaction

3. Deep Learning Approaches for Facial Emotion Recognition: A Case Study on FER-2013

4. Introduction to convolutional neural networks;Wu;National Key Lab for Novel Software Technology,2017

5. Constants across cultures in the face and emotion.

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