A Case-based Channel Selection Method for EEG Emotion Recognition Using Interpretable Transformer Networks-Reference-Cited by-同舟云学术

A Case-based Channel Selection Method for EEG Emotion Recognition Using Interpretable Transformer Networks

Published:2023-08-25 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 International Conference on Computer, Vision and Intelligent Technology
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Author:

Du Yang¹^ORCID,Guan Zijing²^ORCID,Huang Weichen³^ORCID,Zhang Xichun⁴^ORCID,Huang Qiyun³^ORCID

Affiliation:

1. School of Automation Science and Engineering, South China University of Technology, China

2. School of Automation Science and Engineering, South China University of Technology, China and Pazhou Lab, China

3. Pazhou Lab, China

4. South China University of Technology, China

Funder

Pazhou Lab

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3627341.3630372

Reference14 articles.

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2. Comparison of different feature extraction methods for EEG-based emotion recognition

3. Robert Jenke , Angelika Peer , and Martin Buss . 2013 . Effect-size-based electrode and feature selection for emotion recognition from EEG . In 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 1217–1221 . Robert Jenke, Angelika Peer, and Martin Buss. 2013. Effect-size-based electrode and feature selection for emotion recognition from EEG. In 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 1217–1221.

4. Alex Krizhevsky , Ilya Sutskever , and Geoffrey E Hinton . 2012. Imagenet classification with deep convolutional neural networks. Advances in neural information processing systems 25 ( 2012 ). Alex Krizhevsky, Ilya Sutskever, and Geoffrey E Hinton. 2012. Imagenet classification with deep convolutional neural networks. Advances in neural information processing systems 25 (2012).

5. Mask R-CNN