Abstract
In the paper we address utilization of advanced technologies for supporting physical exercises backed by sports theory. Despite the availability of digital technologies, wearable sensor devices and AI methods for monitoring heart rates and planning training sessions, there is currently no all-encompassing solution for customizing fitness routines based on individual health and capabilities. For this purpose, we propose to develop a comprehensive framework that utilizes information from personal trainers to personalize workout programs at fitness centres. This proposed framework aims to address this gap by analysing user data to tailor exercises according to specific requirements, including age, abilities, and injury history. The objective is to make exercise more accessible and safer, reducing reliance on often costly personal trainers. In this paper we present an initial proposal rather than a finished product. Future work involves creating a prototype, assessing its efficiency, and integrating measures for preventing injuries, ultimately improving quality of life through healthier lifestyles and accessible fitness training.
Publisher
University of Maribor Press
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