Attention-based convolution-recurrent neural network for cross-subject EEG emotion recognition-Reference-Cited by-同舟云学术

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Attention-based convolution-recurrent neural network for cross-subject EEG emotion recognition

Published:2023-10-28 Issue: Volume:12 Page:1-6
ISSN:
Container-title:2023 16th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)
language:
Short-container-title:

Author:

Han Zhichao¹,Su Jipu²,Qin Teng³

Affiliation:

1. Nanjing University of Information Science and Technology,School of Electronic and Information Engineering,Nanjing,China,210096

2. Southeast University,School of Information Science and Engineering,Nanjing,China,210096

3. Shanghai Second Light Industry School,Shanghai,China,200135

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10373215/10373216/10373236.pdf?arnumber=10373236

Reference25 articles.

1. Toward machine emotional intelligence: analysis of affective physiological state

2. Emotion as an Argumentation Engine: Modeling the Role of Emotion in Negotiation

3. Automated emotion recognition: Current trends and future perspectives

4. Depression Assessment Method: An EEG Emotion Recognition Framework Based on Spatiotemporal Neural Network

5. Dreamer: a database for emotion recognition through eeg and ecg signals from wireless low-cost off-the-shelf devices;K;IEEE journal of biomedical and health informatics,2018

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