Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11779/2338
Title: Physical Activity Monitoring With Smartwatch Technology in Adolescents and Obtaining Big Data: Preliminary Findings;
Other Titles: Adölesanlarda Akıllı Saat Teknolojisi ile Fiziksel Aktivite İzleme ve Büyük Veri Elde Edilmesi: Ön Sonuçlar
Authors: Bozkan, Tunahan
Yekdaneh, Asena
Filiz, Gözde
Albayrak, Asya
Arman, Nilay
Aktay Ayaz, Nuray
Çakar,Tuna
Keywords: Big data
Physical activity
Covid-19 pandemic
Adolescent health
Smartwatch technology
Publisher: Institute of Electrical and Electronics Engineers Inc.
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.
Description: Berdan Civata B.C.; et al.; Figes; Koluman; Loodos; Tarsus University
URI: https://doi.org/10.1109/SIU61531.2024.10601111
https://hdl.handle.net/20.500.11779/2338
ISBN: 9798350388961
Appears in Collections:Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

Files in This Item:
File SizeFormat 
Sunum Dosyası.pdf
  Restricted Access
238.8 kBAdobe PDFView/Open    Request a copy
Show full item record



CORE Recommender

Page view(s)

100
checked on Nov 18, 2024

Google ScholarTM

Check




Altmetric


Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.