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

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.