Deploying Hybrid MAELM Approach for Human Emotion Detection Through Speech and Facial Expressions-Reference-Cited by-同舟云学术

Deploying Hybrid MAELM Approach for Human Emotion Detection Through Speech and Facial Expressions

Published:2023-12-21 Issue: Volume: Page:299-304
ISSN:
Container-title:2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA)
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Author:

Kumar K Senthil¹,Devi S. Rukmani²,Ranjan Nidhi³,Rath Gitika⁴,Indira G.⁵,Nishant Neerav⁶

Affiliation:

1. SRM Institute of Science and Technology,School of Computing, College of Engineering and Technology,Department of Networking and Communications,Chennai,India

2. SIMATS Deemed to be University,Saveetha College of Liberal Arts and Sciences,Department of Computer Science,Chennai,India

3. Computer Engineering, Vasantdada Patil Pratishthan’s College of Engineering and Visual Arts,Mumbai,India

4. Marri Laxman Reddy Institute of Technology and Management,Department of CSE,Hyderabad,India

5. Prince Shri Venkateshwara Padmavathy Engineering College,Department of Electrical and Electronics Engineering,Chennai,India

6. Babu Banarasi Das University,School of Engineering,Department of Computer Science and Engineering,Lucknow,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10424966/10425793/10426605.pdf?arnumber=10426605

Reference24 articles.

1. Innovative Method for Face Emotion Recognition using Hybrid Deep Neural Networks

2. Convolution neural network for automatic facial expression recognition

3. Deep Convolutional Neural Networks for facial expression recognition

4. EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks

5. Feature Extraction for Emotion Recognition and Modelling Using Neurophysiological Data