A Fusion Shallow and Deep Features Network for Facial StO2 Stress Classification
Author:
Affiliation:
1. Southwest University,School of Electronic and Information Engineering,Chongqing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10081934/10081946/10082211.pdf?arnumber=10082211
Reference19 articles.
1. Wavelength and model selection for hyperspectral imaging of tissue oxygen saturation
2. Cardiovascular response to different types of acute stress stimulations;jarczewski,2019
3. Evolution of Facial Tissue Oxygen Saturation and Detection of Human Physical Stress
4. Detection of physical stress using multispectral imaging
5. Human Stress and StO2: Database, Features, and Classification of Emotional and Physical Stress
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Feature Mutual Learning Two-Stream Network for Facial StO2 Stress Classification;2024 IEEE 2nd International Conference on Control, Electronics and Computer Technology (ICCECT);2024-04-26
2. Stress recognition based on graph structure representation of facial StO2;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05
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