Integrated System for the Analysis of Physical Activity: Accelerometry, Heart Rate and Energy Expenditure
Abstract
This study addresses the challenge of integrating multidisciplinary knowledge (such as Physical Culture, Physical Activity, and Sport Sciences) through the development of a technological tool. A computing application implemented in the Rust programming language was developed specifically as a didactic initiative to facilitate the understanding and practical application of these concepts. The method was based on the search, use, and design of algorithms capable of processing and analyzing biometric data, specifically acceleration and heart rate information. The tool operationalizes acceleration and heart rate data to provide estimates of energy expenditure, classify physical activity, estimate oxygen consumption and maximum heart rate and their respective percentage classifications; additionally, it performs intensity classification using acceleration magnitudes, impact detection for injury prevention, and personalized estimation of VO2max and HRmax. The results demonstrate that the application enables the effective asynchronous calculation of physiological and kinematic variables, successfully transforming raw data into useful indicators for performance and health analysis. It is concluded that the use of this computational application effectively supports the integration of multidisciplinary knowledge, consolidating itself as a valuable educational resource that links scientific theory with its potential applications in physical exercise practice.
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