MHNNSL: EEG-Based Emotion Recognized by Multi-task Hypergraph Neural Network combined with Self-supervised Learning-Reference-Cited by-同舟云学术

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MHNNSL: EEG-Based Emotion Recognized by Multi-task Hypergraph Neural Network combined with Self-supervised Learning

Published:2024-06-07 Issue: Volume: Page:2332-2337
ISSN:
Container-title:2024 39th Youth Academic Annual Conference of Chinese Association of Automation (YAC)
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Author:

Xu Xirong¹,Li Haochen¹,Wen Pengjie²,Li Lin³,Wang Zelin⁴,Zhu Li⁵

Affiliation:

1. Dalian University of Technology,Computer Science and Technology,Dalian,P.R. China

2. Chinese Academy of Sciences,Shenzhen Institute of Advanced Technology,Shenzhen,P.R. China

3. Epilepsy Center Shenzhen Children’s Hospital,Surgery Division,Shenzhen,P.R. China

4. Beihang University,Computer Technology,Beijing,P.R. China

5. Dalian University of Technology,Control Science and Technology,Dalian,P.R. China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10598401/10598402/10598451.pdf?arnumber=10598451

Reference26 articles.

1. Emotion Recognition by Integrating Eye Movement Analysis and Facial Expression Model

2. Affective computing: challenges

3. On identification of driving-induced stress using electroencephalogram signals: A framework based on wearable safety-critical scheme and machine learning

4. Multi-modal prediction of PTSD and stress indicators

5. AVEC 2013

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