Fitness Data Technology Stack for Wearable Devices Data Tracking

Markoska, Ramona and Markoski, Aleksandar and Mircevski, Darko (2023) Fitness Data Technology Stack for Wearable Devices Data Tracking. In: 13h International Conference on Information Society and Technology, 12-15 Mar 2023, Kopaonik, Srbija.

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Abstract

IoT fitness trackers are widely used to measure vital parameters and track sports activities of their users.
vailable options allow uploading data from an IoT device through a mobile application to its cloud storage. There is a limitation that only data from users with the same devices or operating systems can be collected on the same cloud. The main goal of this work is to propose a solution for tracking and collecting data from heterogeneous IoT devices for fitness tracking and storing it in a shared database. This solution is intended for use in fitness clubs where members, users of IoT fitness trackers, can share their data in the club's private cloud with regulated rights and privileges. This would enable professional fitness trainers to effectively track fitness activities and vital parameters, monitor progress, and provide individualized recommendations. Certain aspects of this solution have been fully developed and implemented, while others are presented as challenges for future resolution and improvement. The research and implemented activities, as well as the insights obtained, show that a recommended software technology stack can be based on implementing common functionalities and addressing the heterogeneity gap of devices, operating systems, working platforms, applications, and datasets. The functionality of this recommended technology stack is demonstrated with a concrete example, and its general applicability is also explained. One of the challenges addressed in this paper is how to integ

Item Type:	Conference or Workshop Item (Paper)
Subjects:	Scientific Fields (Frascati) > Natural sciences > Computer and information sciences Scientific Fields (Frascati) > Engineering and Technology > Electrical engineering, electronic engineering,information engineering
Divisions:	Faculty of Information and Communication Technologies
Depositing User:	Fikt Eprints
Date Deposited:	22 Nov 2023 12:54
Last Modified:	22 Nov 2023 12:54
URI:	https://eprints.uklo.edu.mk/id/eprint/9243

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