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Computer vision tasks for ambient intelligence in children's health

Articolo
Data di Pubblicazione:
2023
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.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Computer vision; Ambient intelligence; Body motion analysis; Facial expression recognition; Children's healthcare
Elenco autori:
Colantonio, Sara; Leo, Marco; Carcagni', Pierluigi; Germanese, Danila; DEL COCO, Marco
Autori di Ateneo:
CARCAGNI' PIERLUIGI
COLANTONIO SARA
DEL COCO MARCO
GERMANESE DANILA
LEO MARCO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/451996
Link al Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/451996/135482/prod_490126-doc_204168.pdf
Pubblicato in:
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URL

https://www.mdpi.com/2078-2489/14/10/548
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