Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11779/2338
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Bozkan, Tunahan | - |
dc.contributor.author | Yekdaneh, Asena | - |
dc.contributor.author | Filiz, Gözde | - |
dc.contributor.author | Albayrak, Asya | - |
dc.contributor.author | Arman, Nilay | - |
dc.contributor.author | Aktay Ayaz, Nuray | - |
dc.contributor.author | Çakar,Tuna | - |
dc.date.accessioned | 2024-09-08T16:52:58Z | - |
dc.date.available | 2024-09-08T16:52:58Z | - |
dc.date.issued | 2024 | - |
dc.identifier.isbn | 9798350388961 | - |
dc.identifier.uri | https://doi.org/10.1109/SIU61531.2024.10601111 | - |
dc.identifier.uri | https://hdl.handle.net/20.500.11779/2338 | - |
dc.description | Berdan Civata B.C.; et al.; Figes; Koluman; Loodos; Tarsus University | en_US |
dc.description.abstract | This study assesses the potential of smartwatch technology in monitoring adolescents' physical activity and health parameters. It focuses on the role of physical activity in preventing chronic diseases and improving quality of life. The primary aim of the project is to perform statistical analysis of the large data sets collected from both healthy adolescents and those with chronic rheumatic diseases, and to develop a machine learning-based classification model to distinguish between these two groups. This analysis highlights the issue of physical inactivity observed during the Covid-19 pandemic, while showcasing the capacity of technology to offer solutions. The study aims to evaluate the collected data in a way that forms the basis for personalized activity plans for adolescents, demonstrating how wearable technology and big data can be effectively used in health services and to promote physical activity. © 2024 IEEE. | en_US |
dc.language.iso | tr | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.relation.ispartof | 32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 - Proceedings -- 32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 -- 15 May 2024 through 18 May 2024 -- Mersin -- 201235 | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Big data | en_US |
dc.subject | Physical activity | en_US |
dc.subject | Covid-19 pandemic | en_US |
dc.subject | Adolescent health | en_US |
dc.subject | Smartwatch technology | en_US |
dc.title | Physical Activity Monitoring With Smartwatch Technology in Adolescents and Obtaining Big Data: Preliminary Findings; | en_US |
dc.title.alternative | Adölesanlarda Akıllı Saat Teknolojisi ile Fiziksel Aktivite İzleme ve Büyük Veri Elde Edilmesi: Ön Sonuçlar | en_US |
dc.type | Conference Object | en_US |
dc.identifier.doi | 10.1109/SIU61531.2024.10601111 | - |
dc.identifier.scopus | 2-s2.0-85200832800 | en_US |
dc.authorscopusid | 58634073400 | - |
dc.authorscopusid | 57201479637 | - |
dc.authorscopusid | 24328700900 | - |
dc.authorscopusid | 57828515200 | - |
dc.authorscopusid | 57243397400 | - |
dc.authorscopusid | 57903753900 | - |
dc.authorscopusid | 57903753900 | - |
dc.description.PublishedMonth | Temmuz | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.department | Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü | en_US |
dc.institutionauthor | Çakar, Tuna | - |
item.grantfulltext | embargo_restricted_20400101 | - |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | tr | - |
item.openairetype | Conference Object | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.cerifentitytype | Publications | - |
crisitem.author.dept | 02.02. Department of Computer Engineering | - |
Appears in Collections: | Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection |
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File | Size | Format | |
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Sunum Dosyası.pdf Restricted Access | 238.8 kB | Adobe PDF | View/Open Request a copy |
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