Self-Supervised EEG Emotion Recognition Models Based on CNN
Author:
Affiliation:
1. School of Automation, Hangzhou Dianzi University, Hangzhou, China
2. Department of Biomedical Engineering, University of Houston, Houston, TX, USA
Funder
National Natural Science Foundation of China
Graduate Research Innovation Fund of Hangzhou Dianzi University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Biomedical Engineering,General Neuroscience,Internal Medicine,Rehabilitation
Link
http://xplorestaging.ieee.org/ielx7/7333/10031624/10089876.pdf?arnumber=10089876
Reference35 articles.
1. Emotion recognition based on multiple physiological signals;chen;Chin J Med Instrum,2020
2. Multi-Channel EEG Based Emotion Recognition Using Temporal Convolutional Network and Broad Learning System
3. Stress Detection in Computer Users Based on Digital Signal Processing of Noninvasive Physiological Variables
4. An evaluation of feature extraction in EEG-based emotion prediction with support vector machines
5. Identifying Stable Patterns over Time for Emotion Recognition from EEG
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