Computer Vision Tasks for Ambient Intelligence in Children’s Health
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....
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-10-01
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| Series: | Information |
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| Online Access: | https://www.mdpi.com/2078-2489/14/10/548 |
| _version_ | 1797573543711473664 |
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| author | Danila Germanese Sara Colantonio Marco Del Coco Pierluigi Carcagnì Marco Leo |
| author_facet | Danila Germanese Sara Colantonio Marco Del Coco Pierluigi Carcagnì Marco Leo |
| author_sort | Danila Germanese |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T21:10:35Z |
| format | Article |
| id | doaj.art-2b96c4c443354fadbb1b465b22005617 |
| institution | Directory Open Access Journal |
| issn | 2078-2489 |
| language | English |
| last_indexed | 2024-03-10T21:10:35Z |
| publishDate | 2023-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Information |
| spelling | doaj.art-2b96c4c443354fadbb1b465b220056172023-11-19T16:48:01ZengMDPI AGInformation2078-24892023-10-01141054810.3390/info14100548Computer Vision Tasks for Ambient Intelligence in Children’s HealthDanila Germanese0Sara Colantonio1Marco Del Coco2Pierluigi Carcagnì3Marco Leo4Institute of Information Science and Technologies (ISTI), National Research Council (CNR), Via G. Moruzzi 1, 56124 Pisa, ItalyInstitute of Information Science and Technologies (ISTI), National Research Council (CNR), Via G. Moruzzi 1, 56124 Pisa, ItalyInstitute of Applied Sciences and Intelligent Systems (ISASI), National Research Council (CNR), Via Monteroni snc University Campus, 73100 Lecce, ItalyInstitute of Applied Sciences and Intelligent Systems (ISASI), National Research Council (CNR), Via Monteroni snc University Campus, 73100 Lecce, ItalyInstitute of Applied Sciences and Intelligent Systems (ISASI), National Research Council (CNR), Via Monteroni snc University Campus, 73100 Lecce, ItalyComputer 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.https://www.mdpi.com/2078-2489/14/10/548computer visionambient intelligencebody motion analysisfacial expression recognitionchildren’s healthcare |
| spellingShingle | Danila Germanese Sara Colantonio Marco Del Coco Pierluigi Carcagnì Marco Leo Computer Vision Tasks for Ambient Intelligence in Children’s Health Information computer vision ambient intelligence body motion analysis facial expression recognition children’s healthcare |
| title | Computer Vision Tasks for Ambient Intelligence in Children’s Health |
| title_full | Computer Vision Tasks for Ambient Intelligence in Children’s Health |
| title_fullStr | Computer Vision Tasks for Ambient Intelligence in Children’s Health |
| title_full_unstemmed | Computer Vision Tasks for Ambient Intelligence in Children’s Health |
| title_short | Computer Vision Tasks for Ambient Intelligence in Children’s Health |
| title_sort | computer vision tasks for ambient intelligence in children s health |
| topic | computer vision ambient intelligence body motion analysis facial expression recognition children’s healthcare |
| url | https://www.mdpi.com/2078-2489/14/10/548 |
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