Computer Vision Tasks for Ambient Intelligence in Children’s Health

IF 2.4 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Information (Switzerland) Pub Date : 2023-10-06 DOI:10.3390/info14100548
Danila Germanese, Sara Colantonio, Marco Del Coco, Pierluigi Carcagnì, Marco Leo
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Abstract

Computer vision is a powerful tool for healthcare applications since it can provide objective diagnosis and assessment of pathologies, not depending on clinicians’ skills and experiences. It can also help speed-up population screening, reducing health care costs and improving the quality of service. Several works summarise applications and systems in medical imaging, whereas less work is devoted to surveying approaches for healthcare goals using ambient intelligence, i.e., observing individuals in natural settings. Even more, there is a lack of papers providing a survey of works exhaustively covering computer vision applications for children’s health, which is a particularly challenging research area considering that most existing computer vision technologies have been trained and tested only on adults. The aim of this paper is then to survey, for the first time in the literature, the papers covering children’s health-related issues by ambient intelligence methods and systems relying on computer vision.
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儿童健康环境智能的计算机视觉任务
计算机视觉是医疗保健应用的强大工具,因为它可以提供客观的病理诊断和评估,而不依赖于临床医生的技能和经验。它还有助于加快人口筛查,降低医疗成本,提高服务质量。一些作品总结了医学成像中的应用和系统,而较少的工作是致力于使用环境智能来测量医疗保健目标的方法,即在自然环境中观察个体。更重要的是,很少有论文详尽地介绍计算机视觉在儿童健康方面的应用,这是一个特别具有挑战性的研究领域,因为大多数现有的计算机视觉技术只在成人身上进行过培训和测试。本文的目的是调查,在文献中第一次,通过环境智能方法和依赖计算机视觉的系统涵盖儿童健康相关问题的论文。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Information (Switzerland)
Information (Switzerland) Computer Science-Information Systems
CiteScore
6.90
自引率
0.00%
发文量
515
审稿时长
11 weeks
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