Desarrollo de una aplicación para la recolección de datos generados por sensores en smartphones

Abstract

This undergraduate degree project presents the development of a mobile application for the collection of data readings from sensors in Android smartphones. This development seeks to address a need identified in the research project “Communication system for disaster survivors based on an ad-hoc smartphone network”, led by research group LACSER - Laboratory for Advanced Computational Science and Engineering Research of Universidad Antonio Nariño, which aims to develop a mobile application in Android operating system as an alternative communication channel that allows the exchange of messages between survivors of a disaster and provides in real time the approximate geographical location of these without requiring access to the Internet or a centralized network infrastructure. The research project contemplates the use of machine learning from the readings made by the sensors of a device with the purpose of automatically predicting if it is being manipulated at that time by a human being and thus decide if the messaging application should prioritize communication with said node. The application developed in this degree project will allow the data collection for the training of machine learning models provided in the research project. This development is proposed as an alternative for the collection of the information required by the research project since the applications available in the market do not meet its requirements. The app developed in this undergraduate degree project will offer the user several benefits, including the selection of the types of sensors that will be read and the time range in which the data will be captured. Optional future work contemplated as part of this undergraduate degree project consists of the application of machine learning for the subsequent identification of human activity from the data collected.