CVGG-19: Customized Visual Geometry Group Deep Learning Architecture for Facial Emotion Recognition-Reference-Cited by-同舟云学术

CVGG-19: Customized Visual Geometry Group Deep Learning Architecture for Facial Emotion Recognition

Published:2024 Issue: Volume:12 Page:41557-41578
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Kim Jung Hwan¹,Poulose Alwin²^ORCID,Han Dong Seog¹^ORCID

Affiliation:

1. School of Electronic and Electrical Engineering, Kyungpook National University, Buk-gu, Daegu, South Korea

2. School of Data Science, Indian Institute of Science Education and Research Thiruvananthapuram (IISER TVM), Vithura, Thiruvananthapuram, Kerala, India

Funder

Basic Science Research Program through the National Research Foundation of Korea

Ministry of Education

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10472497.pdf?arnumber=10472497

Reference45 articles.

1. Toward Emotion Recognition in Car-Racing Drivers: A Biosignal Processing Approach

2. Non-intrusive car driver's emotion recognition using thermal camera

3. ImageNet classification with deep convolutional neural networks;Krizhevsky

4. 2015 International Joint Conference on Neural Networks (IJCNN)

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