Arquitectura para sistemas IoT: estudio de las alternativas que permitan mejorar el rendimiento académico de estudiantes universitarios, a través del monitoreo del sueño, utilizando aplicaciones IoT.

Abstract

The increasing use of mobile devices allows us to have a tool that facilitates the collection of different data through the device's own sensors. Using this opportunity, it is possible to address a latent problem in university students such as poor sleep quality and its impact on their academic performance. In this context, this work proposes an analysis of the different techniques used in various studies on sleep quality, as well as recommendations when selecting the appropriate technique in the analysis of sleep. In addition to making comparative graphs of methods of measuring sleep both medical and environmental sensors, also to analyzing the most used surveys in the analysis of sleep. This curricular integration work is structured in 3 chapters. Chapter 1 includes the theoretical framework with parameters that characterize sleep and academic performance, as well as factors that influence these behaviors. Chapter 2 presents a compilation of the most used techniques and methods in sleep analysis and identifies indices to measure academic performance. In addition, the use of a mobile application, utilizing the device's sensors, is proposed as a possible mechanism for data collection. Finally, Chapter 3 presents the minimum requirements that a prototype mobile application should meet, as well as suggestions for the applicability of the techniques and investigations analyzed.