A Novel Convolutional Neural Network for Emotion Recognition Using Neurophysiological Signals-Reference-Cited by-同舟云学术

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A Novel Convolutional Neural Network for Emotion Recognition Using Neurophysiological Signals

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Robotics and Automation (ICRA)
language:
Short-container-title:

Author:

Tunnell Marc¹,Chung Huijin²,Chang Yuchou³

Affiliation:

1. School of Computing and Engineering, Grand Valley State University,Allendale,MI,USA,49401

2. School of Electrical and Computer Engineering, Georgia Institute of Technology,Atlanta,GA,USA,30332

3. University of Massachusetts Dartmouth,Computer and Information Science Department,North Dartmouth,MA,USA,02747

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9811522/9811357/09811868.pdf?arnumber=9811868

Reference32 articles.

1. Positive‐contrast susceptibility imaging based on first‐order primal‐dual optimization

2. Accelerating MR Imaging via Deep Chambolle-Pock Network*

3. EEG-Based Emotion Recognition for Modulating Social-Aware Robot Navigation

4. S-EEGNet: Electroencephalogram Signal Classification Based on a Separable Convolution Neural Network With Bilinear Interpolation

5. The empiricalmode decomposition and the hilbert spectrum for nonlinear and non-stationary time series analysis;huang;Proceedings of the Royal Societyof London Series A Mathematical Physical and Engineering Sciences,0

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1. AttentioNet: Monitoring Student Attention Type in Learning with EEG-Based Measurement System;2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII);2023-09-10

2. A novel caps-EEGNet combined with channel selection for EEG-based emotion recognition;Biomedical Signal Processing and Control;2023-09

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