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Global-local combined features to detect pain intensity from facial expression images with attention mechanism

Jiang Wu Yi Shi Shun Yan Hong-Mei Yan

电子科技学刊2024，Vol.22Issue(3)：80-93,14.

电子科技学刊2024，Vol.22Issue(3)：80-93,14.DOI:10.1016/j.jnlest.2024.100260

Global-local combined features to detect pain intensity from facial expression images with attention mechanism

Jiang Wu ¹Yi Shi ²Shun Yan ³Hong-Mei Yan¹

作者信息

1. Yangtze Delta Region Institute(Huzhou),University of Electronic Science and Technology of China,Huzhou,313001,China||MOE Key Laboratory for Neuroinformation,School of Life Science and Technology,University of Electronic Science and Technology of China,Chengdu,611731,China
2. MOE Key Laboratory for Neuroinformation,School of Life Science and Technology,University of Electronic Science and Technology of China,Chengdu,611731,China
3. College of Engineering,University of California at Santa Barbara,Santa Barbara,93106,USA
折叠

摘要

关键词

Attention/Convolutional neural network/Facial expression/Pain intensity

Key words

Attention/Convolutional neural network/Facial expression/Pain intensity

引用本文复制引用

Jiang Wu,Yi Shi,Shun Yan,Hong-Mei Yan..Global-local combined features to detect pain intensity from facial expression images with attention mechanism[J].电子科技学刊,2024,22(3):80-93,14.

基金项目

This work was supported by the National Natural Science Foundation of China under Grant No.62276051,the Natural Science Foundation of Sichuan Province under Grant No.2023NSFSC0640,and Medical Industry Information Integration Collaborative Innovation Project of Yangtze Delta Region Institute under Grant No.U0723002. （）

电子科技学刊

ISSN：1674-862X

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