FERLP: Facial Emotion Recognition Based on Landmark Points using Artificial Intelligence and Machine Learning-Reference-Cited by-同舟云学术

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FERLP: Facial Emotion Recognition Based on Landmark Points using Artificial Intelligence and Machine Learning

Published:2023-07-06 Issue: Volume: Page:
ISSN:
Container-title:2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
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Author:

Hossain Mohammad Alamgir¹,Osman Mohammed Hassan²,Hamdan Alfadil Ahmed³,Abdelhag Mohammed Eltahir²,Kechadi M Tahar⁴

Affiliation:

1. Jazan University,Department of Computer Science,KSA

2. Jazan University, Saudi Arabia,Department of Information Technology,KSA

3. Sudan University of Science and Technology,Department of Computer Science,Sudan

4. University College Dublin,School of Computer Science,Dublin,Ireland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10306338/10306339/10308392.pdf?arnumber=10308392

Reference37 articles.

1. Deep Learning Approach for Multimodal Biometric Recognition System Based on Fusion of Iris, Face, and Finger Vein Traits;nada;Sensors MDPI,2020

2. Time-delay neural network for continuous emotional dimension prediction from facial expression sequences;hongying;IEEE Transactions on Cybernetics,2017

3. Design of a Face Recognition System based on Convolutional Neural Network (CNN)

4. A Novel Stochastic Tracking Approach on Human Movement Analysis;hossain;IJCA,2014

5. Deep Facial Expression Recognition: A Survey

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