Publication: “Stepcalories”, aplicación dedicada a una vida saludable para Android
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2011-10
Defense date
2011-10-06
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Abstract
El nacimiento de la telefonía móvil hace varias décadas, generó un mercado que ha ido creciendo día a día, haciendo que se invierta cada vez más tiempo y dinero en la tecnología unida a este concepto. Actualmente, no se usan teléfonos móviles simples, sino que se han convertido en smartphones: verdaderas obras de ingeniería capaces de incluir sensores de movimiento o posición, conectividades Wi-Fi o Bluetooth, cámaras de foto y video, etc., todo un sinfín de posibilidades.
Este desarrollo hizo que fuera necesaria la creación de sistemas operativos avanzados, capaces de dar uso a estas características. Para ello, desde ese tiempo hasta ahora, se están desarrollando todo tipo de aplicaciones para estos aparatos, ya sean traductores, navegadores, videojuegos o herramientas para la salud del ser humano, que es el caso en el que este Proyecto Fin de Carrera se sitúa.
Este PFC consiste en la creación de una aplicación dedicada a la vida saludable del usuario, para el sistema operativo Android. La herramienta contabiliza el número de pasos, distancia, velocidad media y gasto calórico al realizar el usuario la actividad de andar en un tiempo determinado, utilizando para ello diversas fórmulas y algoritmos de aprendizaje automático, las cuales utilizan unos datos que se obtienen a partir de un sensor de movimiento y un receptor GPS, características que incluyen la gran mayoría de los smartphones. Todo ello se implementa en una interfaz de usuario sencilla y moderna, con el propósito de que la aplicación atraiga y sea usada por el mayor número de personas, independientemente de sus conocimientos tecnológicos.
When the mobile phone was born, some decades ago, it generated a Market which has been growing day to day, getting people to invest more and more time and money in technology related to this concept. Nowadays, not only simple mobile phones are used, they have become into smartphones: really great engineering devices which incorporate movement and position sensors, Wi-Fi or Bluetooth connections, photo camera and videocamera, etc., anything you can imagine. The development of the smartphones required the creation of advanced Operating Systems, which could make such features possible. For that purpose, since then, all kind of applications has been developed to that hardware, like translators, navigators, videogames or tools for human health (case in which this final thesis is focused). This final thesis consists on creating an application for Android OS dedicated to the people’s healthy life. This tool counts the steps, distance, speed and calories burned when the user walks or runs during a period of time. It is based on certain mathematic equations and machine-learning-algorithms, which use the data that has been obtained from the movement sensors and the GPS receptor included on smartphones. Moreover, this software is implemented in an easy and modern user interfaces for the purpose of this application to be used by the greatest number of people, regardless their technological knowledge.
When the mobile phone was born, some decades ago, it generated a Market which has been growing day to day, getting people to invest more and more time and money in technology related to this concept. Nowadays, not only simple mobile phones are used, they have become into smartphones: really great engineering devices which incorporate movement and position sensors, Wi-Fi or Bluetooth connections, photo camera and videocamera, etc., anything you can imagine. The development of the smartphones required the creation of advanced Operating Systems, which could make such features possible. For that purpose, since then, all kind of applications has been developed to that hardware, like translators, navigators, videogames or tools for human health (case in which this final thesis is focused). This final thesis consists on creating an application for Android OS dedicated to the people’s healthy life. This tool counts the steps, distance, speed and calories burned when the user walks or runs during a period of time. It is based on certain mathematic equations and machine-learning-algorithms, which use the data that has been obtained from the movement sensors and the GPS receptor included on smartphones. Moreover, this software is implemented in an easy and modern user interfaces for the purpose of this application to be used by the greatest number of people, regardless their technological knowledge.
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Desarrollo de software, Aplicaciones móviles, Android (Sistema operativo), Telefonía móvil