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

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

Jiang Wu;Yi Shi;Shun Yan;Hong-Mei Yan

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,ChinaMOE Key Laboratory for Neuroinformation,School of Life Science and Technology,University of Electronic Science and Technology of China,Chengdu,611731,ChinaCollege of Engineering,University of California at Santa Barbara,Santa Barbara,93106,USAYangtze 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

AttentionConvolutional neural networkFacial expressionPain intensity

AttentionConvolutional neural networkFacial expressionPain intensity

《电子科技学刊》 2024 (3)

80-93,14

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.

10.1016/j.jnlest.2024.100260

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