Human Facial Emotion Detection Using Deep Learning-Reference-Cited by-同舟云学术

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Human Facial Emotion Detection Using Deep Learning

Published:2021-11-09 Issue: Volume: Page:1417-1427
ISSN:1876-1100
Container-title:Lecture Notes in Electrical Engineering
language:
Short-container-title:

Author:

Gaddam Dharma Karan Reddy,Ansari Mohd Dilshad,Vuppala Sandeep,Gunjan Vinit Kumar,Sati Madan Mohan

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-3690-5_136

Reference19 articles.

1. Ahmadvand P, Ebrahimpour R, Ahmadvand P (2016, November) How popular CNNs perform in real applications of face recognition. In 2016 24th Telecommunications Forum (TELFOR) (pp 1–4). IEEE

2. Yang G, Ortoneda JSY, Saniie J (2018, May) Emotion Recognition Using Deep Neural Network with Vectorized Facial Features. In 2018 IEEE International Conference on Electro/Information Technology (EIT) (pp 0318–0322). IEEE

3. Liu L (2019, August) Human face expression recognition based on deep learning-deep convolutional neural network. In 2019 International Conference on Smart Grid and Electrical Automation (ICSGEA) (pp 221–224). IEEE

4. Suresh S, Mithun HTP, Supriya MH (2019) Sign language recognition system using deep neural network. In 2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS) (pp 614–618). IEEE

5. Verma GK, Tiwary US (2014) Multimodal fusion framework: A multiresolution approach for emotion classification and recognition from physiological signals. Neuroimage 102:162–172

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2. Emotion Recognition from Facial Expression Using Deep Learning Techniques;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

3. Nuanced Emotion State Identification: Insights from a CNN-RF Framework;2024 3rd International Conference for Innovation in Technology (INOCON);2024-03-01

4. FacialEmoNet: A Novel Facial Expression Recognition Technique;2024 11th International Conference on Computing for Sustainable Global Development (INDIACom);2024-02-28

5. Real-Time Emotion Recognition Using Convolutional Neural Network: A Raspberry Pi Architecture Approach;Lecture Notes in Computer Science;2024

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