Fine-grained indoor positioning and tracking systems

Indoor positioning has attracted considerable attention for decades due to the increasing demands for location based services. In the past years, although numerous methods have been proposed for indoor positioning, it is still challenging to find a convincing solution that combines high positioning accuracy and ease of deployment. Radio-based indoor positioning has emerged as a dominant method due to its ubiquitousness, especially for WiFi. RSSI (Received Signal Strength Indicator) has been investigated in the area of indoor positioning for decades. However, it is prone to multipath propagation and hence fingerprinting has become the most commonly used method for indoor positioning using RSSI. The drawback of fingerprinting is that it requires intensive labour efforts to calibrate the radio map prior to experiments, which makes the deployment of the positioning system very time consuming. Using time information as another way for radio-based indoor positioning is challenged by time synchronization among anchor nodes and timestamp accuracy. Besides radio-based positioning methods, intensive research has been conducted to make use of inertial sensors for indoor tracking due to the fast developments of smartphones. However, these methods are normally prone to accumulative errors and might not be available for some applications, such as passive positioning. This thesis focuses on network-based indoor positioning and tracking systems, mainly for passive positioning, which does not require the participation of targets in the positioning process. To achieve high positioning accuracy, we work on some information of radio signals from physical-layer processing, such as timestamps and channel information. The contributions in this thesis can be divided into two parts: time-based positioning and channel information based positioning. First, for time-based indoor positioning (especially for narrow-band signals), we address challenges for compensating synchronization offsets among anchor nodes, designing timestamps with high resolution, and developing accurate positioning methods. Second, we work on range-based positioning methods with channel information to passively locate and track WiFi targets. Targeting less efforts for deployment, we work on range-based methods, which require much less calibration efforts than fingerprinting. By designing some novel enhanced methods for both ranging and positioning (including trilateration for stationary targets and particle filter for mobile targets), we are able to locate WiFi targets with high accuracy solely relying on radio signals and our proposed enhanced particle filter significantly outperforms the other commonly used range-based positioning algorithms, e.g., a traditional particle filter, extended Kalman filter and trilateration algorithms. In addition to using radio signals for passive positioning, we propose a second enhanced particle filter for active positioning to fuse inertial sensor and channel information to track indoor targets, which achieves higher tracking accuracy than tracking methods solely relying on either radio signals or inertial sensors.

Carbohydrate Estimation by a Mobile Phone-Based System Versus Self-Estimations of Individuals With Type 1 Diabetes Mellitus: A Comparative Study

Background: Diabetes mellitus is spreading throughout the world and diabetic individuals have been shown to often assess their food intake inaccurately; therefore, it is a matter of urgency to develop automated diet assessment tools. The recent availability of mobile phones with enhanced capabilities, together with the advances in computer vision, have permitted the development of image analysis apps for the automated assessment of meals. GoCARB is a mobile phone-based system designed to support individuals with type 1 diabetes during daily carbohydrate estimation. In a typical scenario, the user places a reference card next to the dish and acquires two images using a mobile phone. A series of computer vision modules detect the plate and automatically segment and recognize the different food items, while their 3D shape is reconstructed. Finally, the carbohydrate content is calculated by combining the volume of each food item with the nutritional information provided by the USDA Nutrient Database for Standard Reference. Objective: The main objective of this study is to assess the accuracy of the GoCARB prototype when used by individuals with type 1 diabetes and to compare it to their own performance in carbohydrate counting. In addition, the user experience and usability of the system is evaluated by questionnaires. Methods: The study was conducted at the Bern University Hospital, “Inselspital” (Bern, Switzerland) and involved 19 adult volunteers with type 1 diabetes, each participating once. Each study day, a total of six meals of broad diversity were taken from the hospital’s restaurant and presented to the participants. The food items were weighed on a standard balance and the true amount of carbohydrate was calculated from the USDA nutrient database. Participants were asked to count the carbohydrate content of each meal independently and then by using GoCARB. At the end of each session, a questionnaire was completed to assess the user’s experience with GoCARB. Results: The mean absolute error was 27.89 (SD 38.20) grams of carbohydrate for the estimation of participants, whereas the corresponding value for the GoCARB system was 12.28 (SD 9.56) grams of carbohydrate, which was a significantly better performance ( P=.001). In 75.4% (86/114) of the meals, the GoCARB automatic segmentation was successful and 85.1% (291/342) of individual food items were successfully recognized. Most participants found GoCARB easy to use. Conclusions: This study indicates that the system is able to estimate, on average, the carbohydrate content of meals with higher accuracy than individuals with type 1 diabetes can. The participants thought the app was useful and easy to use. GoCARB seems to be a well-accepted supportive mHealth tool for the assessment of served-on-a-plate meals.

A QUANTITATIVE INVESTIGATION OF SOURCE AND ELEMENTAL COMPOSITION OF INDOOR AND OUTDOOR FINE PARTICULATE AIR POLLUTION IN HOUSTON (TEXAS)

An investigation was undertaken to determine the chemical characterization of inhalable particulate matter in the Houston area, with special emphasis on source identification and apportionment of outdoor and indoor atmospheric aerosols using multivariate statistical analyses.^ Fine (<2.5 (mu)m) particle aerosol samples were collected by means of dichotomous samplers at two fixed site (Clear Lake and Sunnyside) ambient monitoring stations and one mobile monitoring van in the Houston area during June-October 1981 as part of the Houston Asthma Study. The mobile van allowed particulate sampling to take place both inside and outside of twelve homes.^ The samples collected for 12-h sampling on a 7 AM-7 PM and 7 PM-7 AM (CDT) schedule were analyzed for mass, trace elements, and two anions. Mass was determined gravimetrically. An energy-dispersive X-ray fluorescence (XRF) spectrometer was used for determination of elemental composition. Ion chromatography (IC) was used to determine sulfate and nitrate.^ Average chemical compositions of fine aerosol at each site were presented. Sulfate was found to be the largest single component in the fine fraction mass, comprising approximately 30% of the fine mass outdoors and 12% indoors, respectively.^ Principal components analysis (PCA) was applied to identify sources of aerosols and to assess the role of meteorological factors on the variation in particulate samples. The results suggested that meteorological parameters were not associated with sources of aerosol samples collected at these Houston sites.^ Source factor contributions to fine mass were calculated using a combination of PCA and stepwise multivariate regression analysis. It was found that much of the total fine mass was apparently contributed by sulfate-related aerosols. The average contributions to the fine mass coming from the sulfate-related aerosols were 56% of the Houston outdoor ambient fine particulate matter and 26% of the indoor fine particulate matter.^ Characterization of indoor aerosol in residential environments was compared with the results for outdoor aerosols. It was suggested that much of the indoor aerosol may be due to outdoor sources, but there may be important contributions from common indoor sources in the home environment such as smoking and gas cooking. ^

AN INVESTIGATION OF VOLATILE ORGANIC AIR CONTAMINANTS IN THE INDOOR MANUFACTURED HOUSING ENVIRONMENT (TEXAS)

Manufactured housing has been found to have substantial levels of formaldehyde in the indoor air. Because mobile homes are more affordable than conventional housing, there has been a large increase in their use in the U.S. This increase in mobile home use has been substantial in the sunbelt regions such as Texas, where high temperatures and humidities may enhance out-gassing of formaldehyde and other volatile organic compounds from construction and furnishing materials and increase any potential health hazards.^ The influences of environmental, architectural and temporal factors on the presence of indoor formaldehyde and other organic compounds were investigated in conjunction with the Texas Indoor Air Quality Study of manufactured housing. A matched pair of mobile homes, one with electric heating and cooking utilities and the other with propane gas utilities, were used for a series of controlled experiments over a fourteen month period from October, 1982 through November, 1983.^ Over this fourteen month period formaldehyde levels decreased approximately 33%. Daily fluctuations of 20% to 40% were observed even with a constant indoor temperature. An increase in indoor temperature of 8(DEGREES)C doubled the measured formaldehyde concentration. Opening windows resulted in decreases of indoor formaldehyde levels of up to 50%. Studies of the impact of propane as a cooking source showed no increase in formaldehyde levels with stove use.^ The presence and concentration of selected volatile organic compounds is influenced greatest by occupancy. Occupants continually open and close windows and doors, vary the operation and settings (temperature) of air control systems, and vary in their selection of furnishings and use of consumer products, which may act as sources of indoor air contaminants. ^

The Technology Gap and the Growth of the Firm: A Case Study of China's Mobile-phone Handset Industry

We have examined the way in which local Chinese firms confronted with a technology gap have achieved growth, using the Chinese handset industry as a case study. Chinese local firms have lacked technology, and have therefore turned to outside firms for development, design, and manufacturing, while they themselves have focused on sales and marketing, using their advantage of familiarity with the Chinese market. Consequently, by establishing a growth condition in which their selection of boundaries counterbalances the technology gap they have been able to expand their market share in comparison with foreign firms.

Particle filtering for indoor RFID tag tracking

In this paper, we propose a particle filtering (PF) method for indoor tracking using radio frequency identification (RFID) based on aggregated binary measurements. We use an Ultra High Frequency (UHF) RFID system that is composed of a standard RFID reader, a large set of standard passive tags whose locations are known, and a newly designed, special semi-passive tag attached to an object that is tracked. This semi-passive tag has the dual ability to sense the backscatter communication between the reader and other passive tags which are in its proximity and to communicate this sensed information to the reader using backscatter modulation. We refer to this tag as a sense-a-tag (ST). Thus, the ST can provide the reader with information that can be used to determine the kinematic parameters of the object on which the ST is attached. We demonstrate the performance of the method with data obtained in a laboratory environment.

A Radio Frequency Identification System for accurate indoor localization

In this paper we present a novel Radio Frequency Identification (RFID) system for accurate indoor localization. The system is composed of a standard Ultra High Frequency (UHF), ISO-18006C compliant RFID reader, a large set of standard passive RFID tags whose locations are known, and a newly developed tag-like RFID component that is attached to the items that need to be localized. The new semi-passive component, referred to as sensatag (sense-a-tag), has a dual functionality wherein it can sense the communication between the reader and standard tags which are in its proximity, and also communicate with the reader like standard tags using backscatter modulation. Based on the information conveyed by the sensatags to the reader, localization algorithms based on binary sensor principles can be developed. We present results from real measurements that show the accuracy of the proposed system.

Localization and activity detection Based on the fusion of environment And inertial sensors = Localización y detección de actividad Basadas en integración de sensores y dispositivos inerciales

Los sensores inerciales (acelerómetros y giróscopos) se han ido introduciendo poco a poco en dispositivos que usamos en nuestra vida diaria gracias a su minituarización. Hoy en día todos los smartphones contienen como mínimo un acelerómetro y un magnetómetro, siendo complementados en losmás modernos por giróscopos y barómetros. Esto, unido a la proliferación de los smartphones ha hecho viable el diseño de sistemas basados en las medidas de sensores que el usuario lleva colocados en alguna parte del cuerpo (que en un futuro estarán contenidos en tejidos inteligentes) o los integrados en su móvil. El papel de estos sensores se ha convertido en fundamental para el desarrollo de aplicaciones contextuales y de inteligencia ambiental. Algunos ejemplos son el control de los ejercicios de rehabilitación o la oferta de información referente al sitio turístico que se está visitando. El trabajo de esta tesis contribuye a explorar las posibilidades que ofrecen los sensores inerciales para el apoyo a la detección de actividad y la mejora de la precisión de servicios de localización para peatones. En lo referente al reconocimiento de la actividad que desarrolla un usuario, se ha explorado el uso de los sensores integrados en los dispositivos móviles de última generación (luz y proximidad, acelerómetro, giróscopo y magnetómetro). Las actividades objetivo son conocidas como ‘atómicas’ (andar a distintas velocidades, estar de pie, correr, estar sentado), esto es, actividades que constituyen unidades de actividades más complejas como pueden ser lavar los platos o ir al trabajo. De este modo, se usan algoritmos de clasificación sencillos que puedan ser integrados en un móvil como el Naïve Bayes, Tablas y Árboles de Decisión. Además, se pretende igualmente detectar la posición en la que el usuario lleva el móvil, no sólo con el objetivo de utilizar esa información para elegir un clasificador entrenado sólo con datos recogidos en la posición correspondiente (estrategia que mejora los resultados de estimación de la actividad), sino también para la generación de un evento que puede producir la ejecución de una acción. Finalmente, el trabajo incluye un análisis de las prestaciones de la clasificación variando el tipo de parámetros y el número de sensores usados y teniendo en cuenta no sólo la precisión de la clasificación sino también la carga computacional. Por otra parte, se ha propuesto un algoritmo basado en la cuenta de pasos utilizando informaiii ción proveniente de un acelerómetro colocado en el pie del usuario. El objetivo final es detectar la actividad que el usuario está haciendo junto con la estimación aproximada de la distancia recorrida. El algoritmo de cuenta pasos se basa en la detección de máximos y mínimos usando ventanas temporales y umbrales sin requerir información específica del usuario. El ámbito de seguimiento de peatones en interiores es interesante por la falta de un estándar de localización en este tipo de entornos. Se ha diseñado un filtro extendido de Kalman centralizado y ligeramente acoplado para fusionar la información medida por un acelerómetro colocado en el pie del usuario con medidas de posición. Se han aplicado también diferentes técnicas de corrección de errores como las de velocidad cero que se basan en la detección de los instantes en los que el pie está apoyado en el suelo. Los resultados han sido obtenidos en entornos interiores usando las posiciones estimadas por un sistema de triangulación basado en la medida de la potencia recibida (RSS) y GPS en exteriores. Finalmente, se han implementado algunas aplicaciones que prueban la utilidad del trabajo desarrollado. En primer lugar se ha considerado una aplicación de monitorización de actividad que proporciona al usuario información sobre el nivel de actividad que realiza durante un período de tiempo. El objetivo final es favorecer el cambio de comportamientos sedentarios, consiguiendo hábitos saludables. Se han desarrollado dos versiones de esta aplicación. En el primer caso se ha integrado el algoritmo de cuenta pasos en una plataforma OSGi móvil adquiriendo los datos de un acelerómetro Bluetooth colocado en el pie. En el segundo caso se ha creado la misma aplicación utilizando las implementaciones de los clasificadores en un dispositivo Android. Por otro lado, se ha planteado el diseño de una aplicación para la creación automática de un diario de viaje a partir de la detección de eventos importantes. Esta aplicación toma como entrada la información procedente de la estimación de actividad y de localización además de información almacenada en bases de datos abiertas (fotos, información sobre sitios) e información sobre sensores reales y virtuales (agenda, cámara, etc.) del móvil. Abstract Inertial sensors (accelerometers and gyroscopes) have been gradually embedded in the devices that people use in their daily lives thanks to their miniaturization. Nowadays all smartphones have at least one embedded magnetometer and accelerometer, containing the most upto- date ones gyroscopes and barometers. This issue, together with the fact that the penetration of smartphones is growing steadily, has made possible the design of systems that rely on the information gathered by wearable sensors (in the future contained in smart textiles) or inertial sensors embedded in a smartphone. The role of these sensors has become key to the development of context-aware and ambient intelligent applications. Some examples are the performance of rehabilitation exercises, the provision of information related to the place that the user is visiting or the interaction with objects by gesture recognition. The work of this thesis contributes to explore to which extent this kind of sensors can be useful to support activity recognition and pedestrian tracking, which have been proven to be essential for these applications. Regarding the recognition of the activity that a user performs, the use of sensors embedded in a smartphone (proximity and light sensors, gyroscopes, magnetometers and accelerometers) has been explored. The activities that are detected belong to the group of the ones known as ‘atomic’ activities (e.g. walking at different paces, running, standing), that is, activities or movements that are part of more complex activities such as doing the dishes or commuting. Simple, wellknown classifiers that can run embedded in a smartphone have been tested, such as Naïve Bayes, Decision Tables and Trees. In addition to this, another aim is to estimate the on-body position in which the user is carrying the mobile phone. The objective is not only to choose a classifier that has been trained with the corresponding data in order to enhance the classification but also to start actions. Finally, the performance of the different classifiers is analysed, taking into consideration different features and number of sensors. The computational and memory load of the classifiers is also measured. On the other hand, an algorithm based on step counting has been proposed. The acceleration information is provided by an accelerometer placed on the foot. The aim is to detect the activity that the user is performing together with the estimation of the distance covered. The step counting strategy is based on detecting minima and its corresponding maxima. Although the counting strategy is not innovative (it includes time windows and amplitude thresholds to prevent under or overestimation) no user-specific information is required. The field of pedestrian tracking is crucial due to the lack of a localization standard for this kind of environments. A loosely-coupled centralized Extended Kalman Filter has been proposed to perform the fusion of inertial and position measurements. Zero velocity updates have been applied whenever the foot is detected to be placed on the ground. The results have been obtained in indoor environments using a triangulation algorithm based on RSS measurements and GPS outdoors. Finally, some applications have been designed to test the usefulness of the work. The first one is called the ‘Activity Monitor’ whose aim is to prevent sedentary behaviours and to modify habits to achieve desired objectives of activity level. Two different versions of the application have been implemented. The first one uses the activity estimation based on the step counting algorithm, which has been integrated in an OSGi mobile framework acquiring the data from a Bluetooth accelerometer placed on the foot of the individual. The second one uses activity classifiers embedded in an Android smartphone. On the other hand, the design of a ‘Travel Logbook’ has been planned. The input of this application is the information provided by the activity and localization modules, external databases (e.g. pictures, points of interest, weather) and mobile embedded and virtual sensors (agenda, camera, etc.). The aim is to detect important events in the journey and gather the information necessary to store it as a journal page.

Herramientas de programación multimedia en IOS y Android

En este proyecto se realiza un estudio sobre herramientas que facilitan la creación y distribución de aplicaciones en distintas plataformas móviles, con el fin de poder seleccionar la herramienta más apropiada en función del proyecto a desarrollar. Previo al estudio de las herramientas para el desarrollo en plataformas múltiples se realiza un estudio de las herramientas y metodologías que facilitan los propietarios de los entornos IOS y Android. Este estudio previo permitirá al lector conocer en más detalle las particularidades de cada uno de estos dos entornos, así como las pautas y buenas prácticas a seguir en el desarrollo de aplicaciones para dispositivos móviles. Una vez finalizado el estudio, el lector sabrá escoger una herramienta de desarrollo adaptada a cada proyecto en función de su objeto, los recursos disponibles y las habilidades de los miembros del equipo de desarrollo. Adicionalmente al estudio, y como ejemplo de aplicación, en el proyecto se realiza un caso práctico de selección de herramienta y aplicación de la herramienta seleccionada a un proyecto de desarrollo concreto. El caso práctico consiste en la creación de un entorno que permite generar aplicaciones para la visualización de apuntes. Las aplicaciones permitirán ver contenidos de tipo multimedia como ficheros de texto, sonidos, imágenes, vídeos y enlaces a contenidos externos. Además estas aplicaciones se generarán sin que el autor de las mismas tenga que modificar alguna de las líneas del código. Para ello, se han definido una serie de ficheros de configuración en los que el autor de la aplicación deberá indicar los contenidos a mostrar y su ubicación. Se han seleccionado recursos de tipo “código abierto” para el desarrollo del caso práctico, con el fin de evitar los costes asociados a las posibles licencias. El equipo de desarrollo del caso práctico estará formado únicamente por el autor de este proyecto de fin de grado, lo que hace del caso de estudio un desarrollo sencillo, de manera que su futuro mantenimiento y escalabilidad no deberían verse afectados por la necesidad de contar con equipos de desarrolladores con conocimientos específicos o complejos. ABSTRACT. This document contains a study of tools that ease the creation and the distribution of the applications through different mobile platforms. The objective o this document is to allow the selection of the most appropriate tool, depending on the development objectives. Previous to this study about the tools for developing on multiple platforms, a study of IOS and Android tools and their methodologies is included on this document. This previous analysis will allow the reader to know in more detail the peculiarities of each of these environments, together with theirs requirements and the best practices of the applications development for mobile devices. By the end of this document the reader would be able to choose the adequate development tool for a project depending of its objective, its available resources and the developers team’s capabilities. Beside this study and as example of case study this final project includes a practical case of tool selection and its application to a specific development. The case study consists in the creation of an environment that allows generating applications to visualise notes. These applications will allow seeing contents of multimedia type such as: text files, sounds, images, videos, and links to external content. Furthermore these applications will be generated without their author having to modify any line of code, because a group of configuration files will be defined for such purpose. The author of the application only has to update this configuration with the content to show by the application and its location. The selected resources for the case study were of the type “open source” in order to avoid the cost associated to the potential licenses. The developers’ team for this case study has only one member, the author of this final project document and practical case developer. As a result the case study is a very simple development in a way that the future potential maintenance and scalability should not depend on the necessity of a highly qualified developers’ teams with a very specific knowledge on mobile platforms development.

Mobile devices: dominant design as a goal

Since the beginning of the smartphones in the 80s, the mobile device market has grown and evolved towards devices connected everywhere, with hardware more and more close to computers and laptops than a classic mobile telephone. Nowadays, this market seems to be crowded and some companies seem not to know exactly which step is next. In this manner, a concept appears in the market as a solution or a difficulty to overcome: the dominant design. The thesis aims to establish an analysis and definition of what a dominant design is and how we should understand this concept: which are the costumers’ demands and needs? How can we relate this information with the dominant design? What is the strategy of the firm before designing a device? Do they use a concept similar to a dominant design?. The research base its analysis in a theoretical framework based in innovation and marketing literature, to then compare the model studied with data collected from surveys made to customers, interviews made to workers of the mobile device market, and different new projects on the market. The research finishes with a discussion about the theoretical and the empirical frameworks, and concludes replying the research questions, and defining a dominant design and its current situation in the market. RESUMEN. Desde la aparición de los Smartphones en los años 80, el mercado de los dispositivos móviles ha crecido y evolucionado hacia dispositivos cada vez más conectados, con hardware cada vez más cercano a los ordenadores de sobremesa y portátiles que al clásico teléfono móvil. A día de hoy, el mercado está saturado y algunas compañías parecen dubitativas ante el próximo paso a seguir. De esta manera, el concepto del diseño dominante aparece en el mercado como una solución a esta dificultad. El primer capítulo de este estudio se centra en establecer, a modo de introducción, los antecedentes al caso a estudiar, el objetivo de la tesis con sus limitaciones y delimitaciones, así como la metodología utilizada. También se plantean las preguntas principales (Research Questions) sobre el objetivo de la tesis, las cuales darán respuesta en la conclusión final al caso de estudio. Este proyecto tiene como objetivo establecer un análisis y definición sobre que es un diseño dominante y qué deberíamos entender como tal: ¿cuáles son las necesidades y las exigencias de los clientes? ¿Cómo se puede relacionar esta información con el diseño dominante en el sector tecnológico? ¿Cuáles son las estrategias de las empresas antes de diseñar un nuevo dispositivo? ¿Usan un concepto o modelos similares a un diseño dominante? Posteriormente, el segundo capítulo expone la bibliografía utilizada, y el enfoque analítico que se llevará a cabo con las 3 principales fuentes de datos. La investigación enfoca su análisis en un marco teórico, basado en publicaciones y bibliografía relacionadas con la innovación y el marketing, para luego comparar el modelo estudiado con un marco empírico: datos obtenidos de encuestas a consumidores, entrevistas a profesionales del sector de los dispositivos móviles, y diferentes prototipos y nuevos proyectos en este mercado. Entre esta literatura se encuentran manuales de marketing como “22 Immutable laws of Marketing” (de Al Ries & Jack Trout), publicaciones sobre el sector industrial de la tecnología y negocios: “Crossing the Chasm” de Geoffrey A. Moore y modelos de innovación entre otros como “Mastering the Dynamics of Innovation” de James M. Utterback. El tercer capítulo corresponde al estudio del marco teórico de la tesis, donde se analizará principalmente el modelo de innovación utilizado (el modelo cíclico de Utterback) y varios principios de marketing aplicados a este sector. Se plantean las bases de este modelo, la definición que el propio Utterback ofrece sobre el diseño dominante, y las 3 fases del proceso del mismo (Fluid Phase, Transitional Phase y Specific Phase), donde las empresas cambian de estrategia según las circunstancias evolutivas del dispositivo, su posición respecto el líder del mercado, o los procesos de estandarización y de costes. Por último se plantea la base para el desarrollo del diseño dominante en un ciclo evolutivo constante en el tiempo. Respecto a la parte más analítica de la tesis, el cuarto capítulo se desarrolla a partir de los datos obtenidos de las fuentes de información en el marco empírico de estudio. Se obtienen conclusiones sobre los datos realizados en ambas encuestas (en Español e Inglés) y sobre la relevancia de esta información; se estudian uno por uno hasta cuatro casos de nuevos dispositivos a corto-medio plazo en el mercado y se obtienen unas conclusiones globales sobre las entrevistas realizadas a los profesionales del sector y la relevancia de todas estas informaciones. En el quinto capítulo de la tesis se desarrolla la discusión en torno a los marcos teórico y empírico utilizados, para concluir respondiendo a las “Research Questions”, definiendo de esta manera el concepto de diseño dominante y comparando esta definición con la situación real del mercado. Se contrastan las bases del modelo de Utterback con los datos obtenidos en el capítulo cuarto, enfatizando la comparación entre las fases de este modelo con la realidad obtenida a través del estudio. Las encuestas realizadas a los consumidores se enmarcan en la segunda y tercera fase del ciclo, donde el desarrollo del diseño dominante ya está establecido y más desarrollado, mientras que las entrevistas unifican varios puntos clave a tener en cuenta en la primera y segunda fases, orientándose a las capas previas del proceso. Después se comparan uno a uno los 4 dispositivos analizados, a fin de establecer su jerarquía dentro del mercado, como posibles nuevos diseños dominantes o evoluciones especializadas de otros que ya aparecieron en el mercado con anterioridad. Así mismo, en esta parte final del estudio se comparan entre sí los resultados similares entre las tres fuentes de datos, y se analiza la veracidad de todas las fuentes consultadas. Finalmente, se han registrado en un sexto capítulo todas las referencias utilizadas en este proyecto, tanto publicaciones bibliográficas, entrevistas, citas de personajes relevantes del sector y enlaces en la red sobre noticias relevantes. En el apartado de apéndices se adjuntan tres anexos, donde se adjunta información utilizada en el caso de estudio, y la cual se ha obviado del texto principal con el objetivo de agilizar la lectura y la comprensión del mismo. Estos tres apéndices corresponden a las dos encuestas realizadas en ambos idiomas y la entrevista realizada a los profesionales del sector de los dispositivos móviles.

A VLC-based beacon location system for mobile applications

This paper proposes a low cost and complexity indoor location and navigation system using visible light communications and a mobile device. LED lamps work as beacons transmitting an identifier code so a mobile device can know its location. Experimental designs for transmitter and receiver interfaces are presented and potential applications are discussed.

Marco de diseño de la interacción para aplicaciones móviles

El desarrollo de aplicaciones móviles multiplataforma se ha convertido en una tarea compleja debido al alto crecimiento de dispositivos móviles y a la diversidad de plataformas que existen en el mercado. Tras identificar que las principales plataformas utilizadas por los usuarios a nivel mundial son iOS y Android y observar la evolución que han sufrido dichas plataformas desde un punto de vista de diseño de la interacción en los últimos años se establecen las bases para la realización del marco de diseño de la interacción en aplicaciones móviles. El marco de diseño pretende identificar la estructura de las aplicaciones en ambas plataformas y observar las similitudes y diferencias que existen entre las mismas. Por otra parte, se analizan, como parte del mismo, los elementos presentes en el diseño de la interacción de aplicaciones en las plataformas estudiadas con el fin de establecer similitudes y equivalencias entre los mismos. Para evaluar la viabilidad del marco propuesto, se ha llevado a cabo un caso de estudio en el que se aplica el marco sobre una aplicación real. Por último, se realiza una herramienta web con la que se permite a los usuarios poder acceder a la información propuesta en el marco de una forma más sencilla.---ABSTRACT---The mobile app development field has become a very complex task due to the increase of mobile devices and the diversity of the market existing platforms. After identifying that the most used platforms by the users are iOS and Android, and observing the evolution of both from the point of view of the interaction design, the basis for an interaction design frame are established. The design presents the basic structure of a mobile application in both platforms, identifying the existing similarities and differences among them. Moreover, the elements present in the design of the interaction are analysed, in order to establish similarities and equivalences among those elements. In addition, a case study was carried out in which the design frame was applied in a real application. Finally, a web tool which allow users to access the proposed information was developed, in order to have an easier access to the information.

Mining mobile apps reviews to support release planning

The mobile apps market is a tremendous success, with millions of apps downloaded and used every day by users spread all around the world. For apps’ developers, having their apps published on one of the major app stores (e.g. Google Play market) is just the beginning of the apps lifecycle. Indeed, in order to successfully compete with the other apps in the market, an app has to be updated frequently by adding new attractive features and by fixing existing bugs. Clearly, any developer interested in increasing the success of her app should try to implement features desired by the app’s users and to fix bugs affecting the user experience of many of them. A precious source of information to decide how to collect users’ opinions and wishes is represented by the reviews left by users on the store from which they downloaded the app. However, to exploit such information the app’s developer should manually read each user review and verify if it contains useful information (e.g. suggestions for new features). This is something not doable if the app receives hundreds of reviews per day, as happens for the very popular apps on the market. In this work, our aim is to provide support to mobile apps developers by proposing a novel approach exploiting data mining, natural language processing, machine learning, and clustering techniques in order to classify the user reviews on the basis of the information they contain (e.g. useless, suggestion for new features, bugs reporting). Such an approach has been empirically evaluated and made available in a web-­‐based tool publicly available to all apps’ developers. The achieved results showed that the developed tool: (i) is able to correctly categorise user reviews on the basis of their content (e.g. isolating those reporting bugs) with 78% of accuracy, (ii) produces clusters of reviews (e.g. groups together reviews indicating exactly the same bug to be fixed) that are meaningful from a developer’s point-­‐of-­‐view, and (iii) is considered useful by a software company working in the mobile apps’ development market.

Aplicación móvil multiplataforma para el aprendizaje de lenguajes de programación. Caso práctico con Swift

En este proyecto se ha estudiado el abanico de posibilidades que las plataformas web y móviles ofrecen para aprender lenguajes de programación compilados. A continuación, se ha realizado el diseño y la implementación de una plataforma para el aprendizaje de lenguajes de programación desde dispositivos móviles, con posibilidad de compilación remota desde la aplicación desarrollada, analizando el proceso y las elecciones de desarrollo tomadas. Así, se ha desarrollado una app mediante la plataforma de desarrollo Cordova, que puede ser distribuida para todas las plataformas móviles que esta soporta, incluyendo las más populares: iOS y Android. Para la parte servidora se ha utilizado un servidor Apache (PHP) y el sistema NoSQL MongoDB para la base de datos. Para mayor facilidad en la gestión del contenido de la app, se ha desarrollado en paralelo un gestor web de la base de datos, el cual permite añadir, editar y eliminar contenido de la misma a través de una interfaz agradable y funcional. ABSTRACT. In this project I have studied the range of possibilities that web and mobile platforms offer to learn compiled programming languages. Next, I have designed and implemented a platform for learning programming languages from mobile devices, giving the possibility of remote compilation within the developed application. In this terms, I have developed an app with the Cordova development platform, which can be distributed for all the mobile platforms Cordova supports, including the most popular ones: iOS and Android. For the server part, I have used an Apache (PHP) server and the NoSQL database system MongoDB. In order to offer a more usable system and a better database management, I have also developed a web manager for the database, from which database content can be added, edited and removed, through a clear and functional interface.