An approach to hand biometrics in mobile devices

This paper focuses on hand biometrics applied to images acquired from a mobile device. The system offers the possibility of identifying individuals based on features extracted from hand pictures obtained with a low-quality camera embedded on a mobile device. Furthermore, the acquisitions have been carried out regardless illumination control, orientation, distance to camera, and similar aspects. In addition, the whole system has been tested with an owned database. Finally, the results obtained (6.0% ± 0.2) and the algorithm structure are both promising in relation to a posterior mobile implementation

User-independent accelerometer-based gesture recognition for mobile devices

Many mobile devices embed nowadays inertial sensors. This enables new forms of human-computer interaction through the use of gestures (movements performed with the mobile device) as a way of communication. This paper presents an accelerometer-based gesture recognition system for mobile devices which is able to recognize a collection of 10 different hand gestures. The system was conceived to be light and to operate in a user -independent manner in real time. The recognition system was implemented in a smart phone and evaluated through a collection of user tests, which showed a recognition accuracy similar to other state-of-the art techniques and a lower computational complexity. The system was also used to build a human -robot interface that enables controlling a wheeled robot with the gestures made with the mobile phone.

Authentication in mobile devices through hand gesture recognition

This article proposes an innovative biometric technique based on the idea of authenticating a person on a mobile device by gesture recognition. To accomplish this aim, a user is prompted to be recognized by a gesture he/she performs moving his/her hand while holding a mobile device with an accelerometer embedded. As users are not able to repeat a gesture exactly in the air, an algorithm based on sequence alignment is developed to correct slight differences between repetitions of the same gesture. The robustness of this biometric technique has been studied within 2 different tests analyzing a database of 100 users with real falsifications. Equal Error Rates of 2.01 and 4.82% have been obtained in a zero-effort and an active impostor attack, respectively. A permanence evaluation is also presented from the analysis of the repetition of the gestures of 25 users in 10 sessions over a month. Furthermore, two different gesture databases have been developed: one made up of 100 genuine identifying 3-D hand gestures and 3 impostors trying to falsify each of them and another with 25 volunteers repeating their identifying 3- D hand gesture in 10 sessions over a month. These databases are the most extensive in published studies, to the best of our knowledge.

Mars: a personalised mobile activity recognition system

Mobile activity recognition focuses on inferring the current activities of a mobile user by leveraging the sensory data that is available on today’s smart phones. The state of the art in mobile activity recognition uses traditional classification learning techniques. Thus, the learning process typically involves: i) collection of labelled sensory data that is transferred and collated in a centralised repository; ii) model building where the classification model is trained and tested using the collected data; iii) a model deployment stage where the learnt model is deployed on-board a mobile device for identifying activities based on new sensory data. In this paper, we demonstrate the Mobile Activity Recognition System (MARS) where for the first time the model is built and continuously updated on-board the mobile device itself using data stream mining. The advantages of the on-board approach are that it allows model personalisation and increased privacy as the data is not sent to any external site. Furthermore, when the user or its activity profile changes MARS enables promptly adaptation. MARS has been implemented on the Android platform to demonstrate that it can achieve accurate mobile activity recognition. Moreover, we can show in practise that MARS quickly adapts to user profile changes while at the same time being scalable and efficient in terms of consumption of the device resources.

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.

Enhancing Guideline-based decision support with distributed computation through local mobile application

We introduce the need for a distributed guideline-based decision sup-port (DSS) process, describe its characteristics, and explain how we implement-ed this process within the European Union?s MobiGuide project. In particular, we have developed a mechanism of sequential, piecemeal projection, i.e., 'downloading' small portions of the guideline from the central DSS server, to the local DSS in the patient's mobile device, which then applies that portion, us-ing the mobile device's local resources. The mobile device sends a callback to the central DSS when it encounters a triggering pattern predefined in the pro-jected module, which leads to an appropriate predefined action by the central DSS, including sending a new projected module, or directly controlling the rest of the workflow. We suggest that such a distributed architecture that explicitly defines a dialog between a central DSS server and a local DSS module, better balances the computational load and exploits the relative advantages of the cen-tral server and of the local mobile device.

Mobile assisted language learning : prototipo de la aplicación UP2B2

La forma de consumir contenidos en Internet ha cambiado durante los últimos años. Inicialmente se empleaban webs estáticas y con contenidos pobres visualmente. Con la evolución de las redes de comunicación, esta tendencia ha variado. A día de hoy, deseamos páginas agradables, accesibles y que nos presenten temas variados. Todo esto ha cambiado la forma de crear páginas web y en todos los casos se persigue el objetivo de atraer a los usuarios. El gran auge de los smartphones y las aplicaciones móviles que invaden el mercado actual han revolucionado el mundo del estudio de los idiomas permitiendo compatibilizar los recursos punteros con el aprendizaje tradicional. La popularidad de los dispositivos móviles y de las aplicaciones ha sido el principal motivo de la realización de este proyecto. En él se realizará un análisis de las diferentes tecnologías existentes y se elegirá la mejor opción que se ajuste a nuestras necesidades para poder desarrollar un sistema que implemente el enfoque llamado Mobile Assisted Language Learning (MALL) que supone una aproximación innovadora al aprendizaje de idiomas con la ayuda de un dispositivo móvil. En este documento se va a ofrecer una panorámica general acerca del desarrollo de aplicaciones para dispositivos móviles en el entorno del e-learning. Se estudiarán características técnicas de diferentes plataformas seleccionando la mejor opción para la implementación de un sistema que proporcione los contenidos básicos para el aprendizaje de un idioma, en este caso del inglés, de forma intuitiva y divertida. Dicho sistema permitirá al usuario mejorar su nivel de inglés mediante una interfaz web de forma dinámica y cercana empleando los recursos que ofrecen los dispositivos móviles y haciendo uso del diseño adaptativo. Este proyecto está pensado para los usuarios que dispongan de poco tiempo libre para realizar un curso de forma presencial o, mejor aún, para reforzar o repasar contenidos ya aprendidos por otros medios más tradicionales o no. La aplicación ofrece la posibilidad de que se haga uso del sistema de forma fácil y sencilla desde cualquier dispositivo móvil del que se disponga como es un smartphone, tablet o un ordenador personal, compitiendo con otros usuarios o contra uno mismo y mejorando así el nivel de partida a través de las actividades propuestas. Durante el proyecto se han comparado diversas soluciones, la mayoría de código abierto y de libre distribución que permiten desplegar servicios de almacenamiento accesibles mediante Internet. Se concluirá con un caso práctico analizando los requisitos técnicos y llevando a cabo las fases de análisis, diseño, creación de la base de datos, implementación y pruebas dentro del ciclo de vida del software. Finalmente, se migrará la aplicación con toda la información a un servidor en la nube. ABSTRACT. The way of consuming content on the Internet has changed over the past years. Initially, static websites were used with poor visual contents. Nevertheless, with the evolution of communication networks this trend has changed. Nowadays, we expect pleasant, accessible and varied topic pages and such expectations have changed the way to create web pages generally aiming at appealing and therefore, attracting users. The great boom of smartphones and mobile applications in the current market, have revolutionized the world of language learning as they make it possible to combine computing with traditional learning resources. The popularity of mobile devices and applications has been the main reason for the development of this project. Here, the different existing technologies will be examined and we will try to select the best option that adapts to our needs in order to develop a system that implements Mobile Assisted Language Learning (MALL) that in broad terms implies an approach to language learning with the help of a mobile device. This report provides an overview of the development of applications for mobile devices in the e-learning environment. We will study the technical characteristics of different platforms and we will select the best option for the implementation of a system that provide the basic content for learning a language, in this case English, by means of an intuitive and fun method. This system will allow the user to improve their level of English with a web interface in a dynamic and close way employing the resources offered by mobile devices using the adaptive design. This project is intended for users who do not have enough free time to make a classroom course or to review contents from more traditional courses as it offers the possibility to make use of the system quickly and easily from any mobile device available such as a smartphone, a tablet or a personal computer, competing with other users or against oneself and thus improving their departing level through different activities. During the project, different solutions have been compared. Most of them, open source and free distribution that allow to deploy storage services accessible via the Internet. It will conclude with a case study analyzing the technical requirements and conducting phases of analysis, design and creation of a database, implementation and testing in the software lifecycle. Finally, the application will be migrated with all the information to a server in the cloud.

A low power routing algorithm for localization in IEEE 802.15.4 networks

Many context-aware applications rely on the knowledge of the position of the user and the surrounding objects to provide advanced, personalized and real-time services. In wide-area deployments, a routing protocol is needed to collect the location information from distant nodes. In this paper, we propose a new source-initiated (on demand) routing protocol for location-aware applications in IEEE 802.15.4 wireless sensor networks. This protocol uses a low power MAC layer to maximize the lifetime of the network while maintaining the communication delay to a low value. Its performance is assessed through experimental tests that show a good trade-off between power consumption and time delay in the localization of a mobile device.

Enhancing Activity Recognition by Fusing Inertial and Biometric Information

Activity recognition is an active research field nowadays, as it enables the development of highly adaptive applications, e.g. in the field of personal health. In this paper, a light high-level fusion algorithm to detect the activity that an individual is performing is presented. The algorithm relies on data gathered from accelerometers placed on different parts of the body, and on biometric sensors. Inertial sensors allow detecting activity by analyzing signal features such as amplitude or peaks. In addition, there is a relationship between the activity intensity and biometric response, which can be considered together with acceleration data to improve the accuracy of activity detection. The proposed algorithm is designed to work with minimum computational cost, being ready to run in a mobile device as part of a context-aware application. In order to enable different user scenarios, the algorithm offers best-effort activity estimation: its quality of estimation depends on the position and number of the available inertial sensors, and also on the presence of biometric information.

A comparative study on unconstrained hand biometrics

Biometrics applied to mobile devices are of great interest for security applications. Daily scenarios can benefit of a combination of both the most secure systems and most simple and extended devices. This document presents a hand biometric system oriented to mobile devices, proposing a non-intrusive, contact-less acquisition process where final users should take a picture of their hand in free-space with a mobile device without removals of rings, bracelets or watches. The main contribution of this paper is threefold: firstly, a feature extraction method is proposed, providing invariant hand measurements to previous changes; second contribution consists of providing a template creation based on hand geometric distances, requiring information from only one individual, without considering data from the rest of individuals within the database; finally, a proposal for template matching is proposed, minimizing the intra-class similarity and maximizing the inter-class likeliness. The proposed method is evaluated using three publicly available contact-less, platform-free databases. In addition, the results obtained with these databases will be compared to the results provided by two competitive pattern recognition techniques, namely Support Vector Machines (SVM) and k-Nearest Neighbour, often employed within the literature. Therefore, this approach provides an appropriate solution to adapt hand biometrics to mobile devices, with an accurate results and a non-intrusive acquisition procedure which increases the overall acceptance from the final user.

Adapting autonomously classification data mining algorithms for ubiquitous devices

Abstract Due to recent scientific and technological advances in information sys¬tems, it is now possible to perform almost every application on a mobile device. The need to make sense of such devices more intelligent opens an opportunity to design data mining algorithm that are able to autonomous execute in local devices to provide the device with knowledge. The problem behind autonomous mining deals with the proper configuration of the algorithm to produce the most appropriate results. Contextual information together with resource information of the device have a strong impact on both the feasibility of a particu¬lar execution and on the production of the proper patterns. On the other hand, performance of the algorithm expressed in terms of efficacy and efficiency highly depends on the features of the dataset to be analyzed together with values of the parameters of a particular implementation of an algorithm. However, few existing approaches deal with autonomous configuration of data mining algorithms and in any case they do not deal with contextual or resources information. Both issues are of particular significance, in particular for social net¬works application. In fact, the widespread use of social networks and consequently the amount of information shared have made the need of modeling context in social application a priority. Also the resource consumption has a crucial role in such platforms as the users are using social networks mainly on their mobile devices. This PhD thesis addresses the aforementioned open issues, focusing on i) Analyzing the behavior of algorithms, ii) mapping contextual and resources information to find the most appropriate configuration iii) applying the model for the case of a social recommender. Four main contributions are presented: - The EE-Model: is able to predict the behavior of a data mining algorithm in terms of resource consumed and accuracy of the mining model it will obtain. - The SC-Mapper: maps a situation defined by the context and resource state to a data mining configuration. - SOMAR: is a social activity (event and informal ongoings) recommender for mobile devices. - D-SOMAR: is an evolution of SOMAR which incorporates the configurator in order to provide updated recommendations. Finally, the experimental validation of the proposed contributions using synthetic and real datasets allows us to achieve the objectives and answer the research questions proposed for this dissertation.

An attitude-based reasoning strategy to enhance interaction with augmented objects

This paper describes a mobile-based system to interact with objects in smart spaces, where the offer of resources may be extensive. The underlying idea is to use the augmentation capabilities of the mobile device to enable it as user-object mediator. In particular, the paper details how to build an attitude-based reasoning strategy that facilitates user-object interaction and resource filtering. The strategy prioritizes the available resources depending on the spatial history of the user, his real-time location and orientation and, finally, his active touch and focus interactions with the virtual overlay. The proposed reasoning method has been partially validated through a prototype that handles 2D and 3D visualization interfaces. This framework makes possible to develop in practice the IoT paradigm, augmenting the objects without physically modifying them.

Herramienta de control de dispositivo móvil mediante un ordenador

Este trabajo fin de máster se integra con el sistema Localiza, un sistema previamente desarrollado para la localización bajo demanda de personas que requieran un cierto grado de supervisión. El proyecto amplia las funciones del sistema Localiza, añadiendo una nueva funcionalidad que permita a un usuario con movilidad reducida controlar su dispositivo móvil a través de su ordenador personal. Este proyecto se integra con el proyecto Localiza bajo el título: “Desarrollo de una herramienta software para el manejo de un teléfono móvil adaptada a personas con discapacidad física severa”. El proyecto citado se centra en el desarrollo de una aplicación móvil, que se comunicara con el ordenador personal del usuario. El desarrollo del sistema residente en el ordenador personal, es el ámbito central que ocupa a este trabajo fin de Master. El usuario final al que está destinada la aplicación desarrollada en este proyecto, es un usuario con grado de discapacidad motórica, de forma que con ligeros movimientos de cabeza sea capaz de controlar remotamente el terminal móvil a través de un ordenador personal. El objetivo principal del proyecto es el control remoto de un terminal móvil desde un ordenador personal. La comunicación entre el terminal móvil y el ordenador personal se ha realizado bajo el protocolo Bluetooth. Para desarrollar la aplicación residente en el ordenador personal, se ha utilizado la plataforma Java. SUMMARY. This Master Tesis develops an application, which is intended to provide an added value to the already existing project Localiza, on-demand position system for people with severe disabilities. This project extends the functions of the Localiza system, adding a new feature that allows a user with limited mobility to control their mobile device. This project is integrated with the project under the title: “Desarrollo de una herramienta software para el manejo de un teléfono móvil adaptada a personas con discapacidad física severa”. The above project it is focused on the development of mobile application and the development of the application that resides in the personal computer is the main work of this project. Both projects are closely related and together they complement. The end-user of the application that is developed in this project is a person with motor disabilities. This person may control the computer mouse with slight head movements. The aim of this project is to facilitate the access to the personal computer and to the mobile telephony environment for disabled people. The Communication between the mobile and personal computer has been conducted under the Bluetooth protocol. To develop the application resident on the personal computer have been used the Java platform.

Desarrollo de una herramienta software para el manejo de un teléfono móvil adaptada a personas con discapacidad física severa

El presente proyecto desarrolla una aplicación residente en un terminal móvil, que pretende proporcionar un valor añadido al actual proyecto Localiza, sistema de localización bajo demanda para personas con discapacidad severa. Mediante el desarrollo de este proyecto se pretende facilitar el acceso al teléfono móvil y al ordenador a las personas con discapacidad motriz. El objetivo final es ser capaz de controlar un teléfono móvil por medio de control remoto, mediante el uso de un ordenador personal. Para ello se establece una conexión remota entre el terminal móvil y el ordenador personal, a través del protocolo de comunicación Bluetooth. De este modo, a través de la aplicación móvil se transmite la información de posición de las coordenadas, proporcionada por el acelerómetro del terminal, a un servicio instalado en el ordenador que se encarga de gestionar la información recibida, y así crear las interrupciones pertinentes en el sistema operativo para mover el puntero del ratón. Para controlar el teléfono móvil de forma remota se dispondrá de un emulador de telefonía móvil instalado en el ordenador que implemente las funciones básicas de control de llamadas. Por medio de comunicación Bluetooth, las acciones que realice el usuario en emulador serán invocadas en el propio terminal móvil. SUMMARY. The project presented develops a mobile application, which is intended to provide an added value to the already existing project Localiza, on-demand position system for people with severe disabilities. This project aims to facilitate the access to the personal computer and to the mobile telephony environment for disabled people. The main goal is to be able to control a mobile phone by remote control, using a personal computer. Thus, a remote connexion will to be established between the mobile device and the personal computer, through Bluetooth communication protocol. Thus, the mobile application will transmit the coordinate’s position, provided by the accelerometer of the mobile device, to a Bluetooth service running in the personal computer. That service will be in charge of managing the information received in order to create the interruptions on the operational system for moving the mouse pointer. The remote controlling of the mobile device is carried out using a mobile telephony emulator installed in the personal computer, which will implement the basic functionality of calling control. Using Bluetooth communication, the user actions done in the emulator interface will be invoked on the mobile device itself.