Pain detection from facial expressions using domain adaptation technique
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition
Link
https://link.springer.com/content/pdf/10.1007/s10044-021-01025-4.pdf
Reference35 articles.
1. Antoniou A, Edwards H, Storkey A (2018) How to train your maml. arXiv preprint arXiv:1810.09502
2. Bargshady G, Soar J, Zhou X, Deo RC, Whittaker F, Wang H (2019) A joint deep neural network model for pain recognition from face. In: 2019 IEEE 4th International Conference on Computer and Communication Systems (ICCCS). pp. 52–56
3. Bargshady G, Zhou X, Deo RC, Soar J, Whittaker F, Wang H (2020) Enhanced deep learning algorithm development to detect pain intensity from facial expression images. Expert Systems with Applications 149:113305
4. Bargshady G, Zhou X, Deo RC, Soar J, Whittaker F, Wang H (2020) Ensemble neural network approach detecting pain intensity from facial expressions. Artificial Intelligence in Medicine 109:101954
5. Brahnam S, Chuang CF, Shih FY, Slack MR (2006) Machine recognition and representation of neonatal facial displays of acute pain. Artificial Intelligence in Medicine 36(3):211–222
Cited by 6 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. Novel fractal pattern based features for EEG-based emotion identification;Biomedical Signal Processing and Control;2024-10
2. A Review of Automatic Pain Assessment from Facial Information Using Machine Learning;Technologies;2024-06-20
3. Deep Learning-Based Pain Intensity Estimation from Facial Expressions;Lecture Notes in Networks and Systems;2024
4. 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
5. Automatic assessment of pain based on deep learning methods: A systematic review;Computer Methods and Programs in Biomedicine;2023-04
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3