MVFNet: A multi-view fusion network for pain intensity assessment in unconstrained environment-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

MVFNet: A multi-view fusion network for pain intensity assessment in unconstrained environment

Published:2021-05 Issue: Volume:67 Page:102537
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Semwal Ashish^ORCID,Londhe Narendra D.

Funder

Science and Engineering Research Board

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference69 articles.

1. Checklist manifesto, the (HB);Gawande,2010

2. Pain assessment;Haefeli;Eur. Spine J.,2006

3. Multi-modal pain intensity recognition based on the SenseEmotion database;Thiam;IEEE Trans. Affect. Comput.,2019

4. Painful data: the UNBC-McMaster shoulder pain expression archive database;Lucey,2011

5. The automatic detection of chronic pain-related expression: requirements, challenges and the multimodal EmoPain dataset;Aung;IEEE Trans. Affect. Comput.,2016

Cited by 12 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. A Review of Automatic Pain Assessment from Facial Information Using Machine Learning;Technologies;2024-06-20

2. A multi-stream spatio-temporal network based behavioural multiparametric pain assessment system;Biomedical Signal Processing and Control;2024-04

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

4. Pose-invariant and occlusion-robust neonatal facial pain assessment;Computers in Biology and Medicine;2023-10

5. Survey on Pain Detection using Machine Learning Models (Preprint);JMIR AI;2023-09-22

同舟云学术

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