Development of a Mobile Application to Measure Youth Health Using Machine Learning and Smart Band

Tatyana Mykaela Chávez Barrios, Pablo Sandoval, Diego Pardo Yepez, Karina Rosas Paredes, José Sulla-Torre

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Resumen

The present research aims to use Machine Learning technologies and wearable technologies, as well as the development of a framework for creating a mobile application, to develop a solution that emerges from the convergence of the tools. The solution consists of developing an application that allows the visualization of data collected by a wearable technology known as "Smart Band," which captures a series of measurements related to physical activity (steps, calories burned, among others). Using a model built from tools in the artificial intelligence subfield, the application can determine the user's health status, automating motor competence evaluations aimed at schoolchildren in Arequipa aged 6 to 17. A questionnaire for the usability evaluation “System Usability Scale” was applied, according to which an average of 82.5 was obtained, demonstrating that the software passed the usability test and was considered efficient. The mobile application can be used by those interested in school health.

Idioma originalInglés
Páginas (desde-hasta)215-228
Número de páginas14
PublicaciónCEUR Workshop Proceedings
Volumen3693
EstadoPublicada - 2023
Evento2023 International Conference on Systems Engineering, JINIS 2023 - Arequipa, Perú
Duración: 3 oct. 20235 oct. 2023

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