Classification of EEG Signals on SEED Dataset Using Improved CNN-Reference-Cited by-同舟云学术

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Classification of EEG Signals on SEED Dataset Using Improved CNN

Published:2023-07-19 Issue: Volume: Page:
ISSN:
Container-title:2023 2nd International Conference on Edge Computing and Applications (ICECAA)
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Author:

Ramar B.¹,Ramalakshmi R.²,Gandhi Vaibhav³,Pandiselvam P.²

Affiliation:

1. Kalasalingam Academy of Research and Education,Department of Computer Applications,Krishnankoil,Tamilnadu,India

2. Kalasalingam Academy of Research and Education,Department of Computer Science and Engineering,Krishnankoil,Tamilnadu,India

3. Middlesex University,Department of Design Engineering and Maths Education,London

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10211064/10212098/10212279.pdf?arnumber=10212279

Reference26 articles.

1. EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks

2. Deep Learning Based on CNN for Emotion Recognition Using EEG Signal

3. Learning CNN features from DE features for EEG-based emotion recognition

4. Multimodal Emotion Recognition Using Deep Neural Networks

5. A channel-fused dense convolutional network for EEG-based emotion recognition;gao;IEEE Transactions on Cognitive and Developmental Systems,2020

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