Advances in Facial Emotion Recognition: Deep Learning Approaches and Future Prospects-Reference-Cited by-同舟云学术

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Advances in Facial Emotion Recognition: Deep Learning Approaches and Future Prospects

Published:2024-04-25 Issue: Volume:4 Page:1-3
ISSN:
Container-title:2024 MIT Art, Design and Technology School of Computing International Conference (MITADTSoCiCon)
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Author:

Deshmukh Shrikala¹,Chaudhary Snehal²,Gayakwad Milind³,Kadam Kalyani⁴,More Nitin S.⁵,Bhosale Amol⁵

Affiliation:

1. Amity University,Mumbai,India

2. Bharati Vidyapeeth (Deemed to be University),College of Engineering,Department of Information Technology,Pune,India

3. Bharati Vidyapeeth (Deemed to be University),College of Engineering,Pune,India

4. Symbiosis Institute of Technology,Pune

5. MIT Art, Design and Technology University,School of Computing,Department of CSE,Pune

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10574857/10574907/10574908.pdf?arnumber=10574908

Reference20 articles.

1. Facial emotion recognition using deep learning: review and insights

2. Automatic Analysis of Facial Affect: A Survey of Registration, Representation, and Recognition

3. Automatic face emotion recognition system

4. Facial Action Coding System

5. Survey on AI-Based Multimodal Methods for Emotion Detection

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automatic Recognition of Multiple Emotional Classes from EEG Signals through the Use of Graph Theory and Convolutional Neural Networks;Sensors;2024-09-10

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