DEMA: Deep EEG-first multi-physiological affect model for emotion recognition-Reference-Cited by-同舟云学术

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DEMA: Deep EEG-first multi-physiological affect model for emotion recognition

Published:2025-01 Issue: Volume:99 Page:106812
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Li Qiaomei,Jin Donghui,Huang Jun,Zhong Qingshan,Xu Linyan,Lin Jiali,Jiang Dazhi^ORCID

Funder

National Natural Science Foundation of China

Department of Science and Technology of Guangdong Province

Innovative Research Group Project of the National Natural Science Foundation of China

Science and Technology Planning Project of Guangdong Province

Guangdong Provincial Natural Science Foundation

Publisher

Elsevier BV

Reference51 articles.

1. EEG-based emotion recognition using hierarchical network with subnetwork nodes;Yang;IEEE Trans. Cogn. Dev. Syst.,2018

2. A review on nonlinear methods using electroencephalographic recordings for emotion recognition;García-Martínez;IEEE Trans. Affect. Comput.,2021

3. An EEG-based brain computer interface for emotion recognition and its application in patients with disorder of consciousness;Huang;IEEE Trans. Affect. Comput.,2019

4. EEG-based brain-computer interfaces (BCIs): A survey of recent studies on signal sensing technologies and computational intelligence approaches and their applications;Gu;IEEE/ACM Trans. Comput. Biol. Bioinform.,2021

5. Multimodal emotion recognition in response to videos;Soleymani;IEEE Trans. Affect. Comput.,2012

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