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EEG Based Emotion Analysis Using Reinforced Spatio-Temporal Attentive Graph Neural and Contextnet Techniques Cover

EEG Based Emotion Analysis Using Reinforced Spatio-Temporal Attentive Graph Neural and Contextnet Techniques

Journal of Automation, Mobile Robotics and Intelligent Systems
Volume 18 (2024): Issue 3 (September 2024)
By:  and    
Open Access
|Sep 2024
Authors

Authors

C. Akalya Devi

akalya.jk@gmail.com

Department of Information Technology, PSG College of Technology, Coimbatore, India

D. Karthika Renuka

dkr.it@psgtech.ac.in

Department of Information Technology, PSG College of Technology, Coimbatore, India
DOI: https://doi.org/10.14313/jamris/3-2024/23 | Journal eISSN: 2080-2145 | Journal ISSN: 1897-8649
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Language: English
Page range: 61 - 68
Submitted on: Oct 21, 2022
Accepted on: Feb 6, 2023
Published on: Sep 12, 2024
Published by: Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
emotion recognition,
electroencephalogram (EEG),
reinforced spatio-temporal attentive graph neural networks (RSTAGNN),
glowworm swarm optimization algorithm (GWOA)
Related subjects:
Computer sciences,
Artificial intelligence,
Engineering,
Electrical engineering,
Control engineering, metrology and testing,
Mechanical engineering,
Fundamentals of mechanical engineering

© 2024 C. Akalya Devi, D. Karthika Renuka, published by Łukasiewicz Research Network – Industrial Research Institute for Automation and Measurements PIAP
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 18 (2024): Issue 3 (September 2024)
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