Pain expression assessment based on a locality and identity aware network-Reference-Cited by-同舟云学术

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Pain expression assessment based on a locality and identity aware network

Published:2021-06-28 Issue:12 Volume:15 Page:2948-2958
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Xin Xuwu¹^ORCID,Li Xiaowu¹,Yang Shengfu²,Lin Xiaoyan¹,Zheng Xin³

Affiliation:

1. The Second Affiliated Hospital of Shantou University Medical College Shantou China

2. The First Affiliated Hospital of Jinan University Guangzhou China

3. Joint Shantou International Eye Center of Shantou University and The Chinese University of Hong Kong Shantou China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12282

Reference63 articles.

1. Pain Assessment in the Patient Unable to Self-Report: Position Statement with Clinical Practice Recommendations

2. The social communication model of pain.

3. Automatic Recognition Methods Supporting Pain Assessment: A Survey

4. Florea C. et al.:Learning pain from emotion: transferred hot data representation for pain intensity estimation. In:European Conference on Computer Vision. pp.778–790.Springer Berlin(2014)

5. Zhao R. et al.:Facial expression intensity estimation using ordinal information. In:Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp.3466–3474(2016)

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3. Multimodal automatic assessment of acute pain through facial videos and heart rate signals utilizing transformer-based architectures;Frontiers in Pain Research;2024-03-27

4. Deep Learning-Based Pain Intensity Estimation from Facial Expressions;Lecture Notes in Networks and Systems;2024

5. Designing an Ethical and Secure Pain Estimation System Using AI Sandbox for Contactless Healthcare;International Journal of Online and Biomedical Engineering (iJOE);2023-10-25

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