EEG-Based Emotion Recognition for Hearing Impaired and Normal Individuals With Residual Feature Pyramids Network Based on Time–Frequency–Spatial Features-Reference-Cited by-同舟云学术

EEG-Based Emotion Recognition for Hearing Impaired and Normal Individuals With Residual Feature Pyramids Network Based on Time–Frequency–Spatial Features

Published:2023 Issue: Volume:72 Page:1-11
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Hou Fazheng¹^ORCID,Liu Junjie¹^ORCID,Bai Zhongli¹^ORCID,Yang Zhiyi¹^ORCID,Liu Jiayin¹^ORCID,Gao Qiang²^ORCID,Song Yu¹^ORCID

Affiliation:

1. Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems, School of Electrical Engineering and Automation, Tianjin University of Technology, Tianjin, China

2. Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems, TUT Maritime College, Tianjin University of Technology, Tianjin, China

Funder

National Natural Science Foundation of China

2021 Tianjin Postgraduate Research and Innovation Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10026834.pdf?arnumber=10026834

Reference46 articles.

1. Electroencephalogram Emotion Recognition Based on 3D Feature Fusion and Convolutional Autoencoder

2. Differential entropy feature for EEG-based emotion classification