Computer Vision Tasks for Ambient Intelligence in Children's Health

被引:4
作者
Germanese, Danila [1 ]
Colantonio, Sara [1 ]
Del Coco, Marco [2 ]
Carcagni, Pierluigi [2 ]
Leo, Marco [2 ]
机构
[1] Natl Res Council CNR, Inst Informat Sci & Technol ISTI, Via G Moruzzi 1, I-56124 Pisa, Italy
[2] Natl Res Council CNR, Inst Appl Sci & Intelligent Syst ISASI, Via Monteroni Snc Univ Campus, I-73100 Lecce, Italy
关键词
computer vision; ambient intelligence; body motion analysis; facial expression recognition; children's healthcare; FACIAL EXPRESSIONS; ETHICAL-ISSUES; MEASURING SYMMETRY; FACE; EMOTION; SYSTEM; RECOGNITION; VALIDATION; CARE;
D O I
10.3390/info14100548
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页数:32
相关论文
共 169 条
[1]   Head pose estimation: An extensive survey on recent techniques and applications [J].
Abate, Andrea F. ;
Bisogni, Carmen ;
Castiglione, Aniello ;
Nappi, Michele .
PATTERN RECOGNITION, 2022, 127
[2]  
Adams C., 2023, Computers and Education: Artificial Intelligence, V4, P1, DOI [DOI 10.1016/J.CAEAI.2023.100131, 10.1016/j.caeai.2023.100131]
[3]   Artificial Intelligence Ethics Guidelines for K-12 Education: A Review of the Global Landscape [J].
Adams, Cathy ;
Pente, Patti ;
Lemermeyer, Gillian ;
Rockwell, Geoffrey .
ARTIFICIAL INTELLIGENCE IN EDUCATION (AIED 2021), PT II, 2021, 12749 :24-28
[4]   The still face: A history of a shared experimental paradigm [J].
Adamson, LB ;
Frick, JE .
INFANCY, 2003, 4 (04) :451-473
[5]  
Ake-Kob A., 2022, AAL Solutions
[6]  
Albiero V., 2021, P 2021 IEEE CVF C CO
[7]  
Aleksic S., 2022, arXiv
[8]  
Alexander D, 2023, BMC MED ETHICS, V24, DOI 10.1186/s12910-023-00937-6
[9]  
Ali A., 2022, P VISAPP 2022 17 INT
[10]   Wize Mirror - a smart, multisensory cardio-metabolic risk monitoring system [J].
Andreu, Yasmina ;
Chiarugi, Franco ;
Colantonio, Sara ;
Giannakakis, Giorgos ;
Giorgi, Daniela ;
Henriquez, Pedro ;
Kazantzaki, Eleni ;
Manousos, Dimitris ;
Marias, Kostas ;
Matuszewski, Bogdan J. ;
Pascali, Maria Antonietta ;
Pediaditis, Matthew ;
Raccichini, Giovanni ;
Tsiknakis, Manolis .
COMPUTER VISION AND IMAGE UNDERSTANDING, 2016, 148 :3-22