Sviluppo e validazione di una App Android per il riconoscimento dell'attivita motoria tramite Smartphones e Smartwatch

In questo progetto di tesi saranno applicate tecniche appartenenti al campo della bioingegneria, indirizzate al riconoscimento delle attività motorie e all’analisi del movimento umano. E' stato definito un protocollo di ricerca necessario per il raggiungimento degli obiettivi finali. Si è quindi implementata un’App Android per l’acquisizione e il salvataggio dei dati provenienti dai principali sensori di Smartwatch e Smartphone, utilizzati secondo le modalità indicate nel protocollo. Successivamente i dati immagazzinati nei dispositivi vengono trasferiti al Pc per effettuarne l’elaborazione off-line, in ambiente Matlab. Per facilitare la seguente procedura di sincronizzazione dei dati intra e inter-device, tutti i sensori sono stati salvati, dall’App Android, secondo uno schema logico definito. Si è perciò verificata la possibilità del riconoscimento del contesto e dell’attività nell’uso quotidiano dei dispositivi. Inoltre si è sviluppato un algoritmo per la corretta identificazione del numero dei passi, indipendentemente dall’orientamento del singolo dispositivo. Infatti è importante saper rilevare in maniera corretta il numero di passi effettuati, soprattutto nei pazienti che, a causa di diverse patologie, non riescono ad effettuare una camminata fluida, regolare. Si è visto come il contapassi integrato nei sistemi commerciali per il fitness più diffusi (Smartwatch), pecca soprattutto in questa valutazione, mentre l’algoritmo, appositamente sviluppato, è in grado di garantire un’analisi accettabile a prescindere dal tipo di attività svolta, soprattutto per i dispositivi posizionati in L5. Infine è stato implementato un algoritmo, che sfrutta il filtro di Kalman e un modello biomeccanico appositamente sviluppato, per estrapolare l’evoluzione dell’angolo Tronco-Coscia. Avere a disposizione tale informazione e perciò conoscere la biomeccanica e la cinematica del corpo umano, rende possibile l’applicazione di questa procedura in svariati campi in ambito clinico e non.

Android en el Hogar Digital usando UPnP y Redes LonWorks

Este Proyecto Final de Carrera se centra principalmente en el estudio de las tecnologías aplicadas al Hogar Digital (HD) y así poder desarrollar nuevas herramientas aplicadas a este Sector. La primera tecnología estudiada es LonWorks que se escogió porque en la EUITT se cuenta con un entorno domótico donde se aplica esta tecnología, materializado como una maqueta de una instalación LonWorks en un HD. Sobre este entorno se ha desarrollado una nueva forma de gestionar y controlar los elementos de una Red LonWorks mediante la tecnología Universal Plug & Play (UPnP). Los dispositivos LonWorks han sido recubiertos con una capa con la que se consigue tratar los elementos LonWorks como dispositivos UPnP, pudiendo de esta manera trabajar bajo un mismo formato de dispositivo. Este formato está definido por un documento denominado Descripción del Dispositivo UPnP. Por tanto, no es necesario conocer el estado de los dispositivos de la Red LonWorks, sino únicamente trabajar bajo una Red UPnP, creando nuevos dispositivos UPnP, puntos de Control y servicios a partir de los elementos LonWorks. Una vez realizado el recubrimiento del sistema LonWorks con UPnP, se ha definido y desarrollado una aplicación para Android que, permite controlar los elementos de la maqueta del HD desde un Smartphone o una Tablet. El acceso a la Red LonWorks de la maqueta del HD se hace a través de la interfaz Web Services SOAP/XML del dispositivo iLON100. ABSTRACT. This Final Degree Project is mainly focused on the study of the technologies applied to Digital Home and thus be able to develop new tools applied to this area. The first study is LonWorks technology which was chosen because the EUITT has a domotic environment where this technology is applied, materialized as a demonstrator of a LonWorks installation in HD. With this environment has developed a new way to manage and control the elements of a LonWorks network through technology by Universal Plug & Play (UPnP). LonWorks devices are covered with a layer and it is achieved LonWorks elements treat as UPnP devices. In this way the LonWorks elements can work under one device format. This format is defined by a document called UPnP Device Description. Therefore, it isn't necessary to know the state of the LonWorks network devices, but only work under an UPnP network, creating new UPnP devices, control points and services from LonWorks elements. After backfill of LonWorks system with UPnP, have being defined and developed an Android application that allow controlling the elements of the mockup of HD from Smartphone or a Tablet. The LonWorks network Access of the mockup of HD is done through the Web Interface Services SOAP / XML iLON100 device.

Diseño y construcción de un helicóptero coaxial controlado sobre Android

El presente proyecto sienta las bases para el desarrollo de un helicóptero coaxial autónomo. Como principales novedades, se quiere destacar el manejo y control de este. El manejo del helicóptero se consigue desplazando el centro de gravedad. Por otro lado, el control se realiza mediante los sensores de un Smartphone a bordo de la aeronave. Este teléfono además, proporcionará una amplia gama de recursos para el desarrollo de futuras aplicaciones, como pueden ser la cámara o GPS. También se desarrolla la aplicación para enviar órdenes desde el exterior para maniobrar el helicóptero. Este trabajo se lleva a cabo conjuntamente con mi compañero Eduardo Ortega Biber (1), quién se enfoca en las tareas de diseño y simulación. Mientras que el actual proyecto, se centra en el desarrollo de las dos aplicaciones Android de los teléfonos.

Equipo de medición de estrés portable con conectividad a plataforma a través del SmartPhone

Durante este trabajo fin de grado (TFG), se ha hecho uso del módulo GSR (o módulo Stress) de la empresa RGB Medical Devices, para crear una aplicación Android que recoja la información enviada por dicho módulo a través del Bluetooth del SmartPhone y la muestre en pantalla en tiempo real.

Control remoto de presentaciones mediante Raspberry PI y Android

Este proyecto fin de carrera trata de mejorar los sistemas actuales de control en la visualización de diapositivas. La solución adoptada constará de un sistema con modelo cliente-servidor. El servidor formado por un mini ordenador, en este caso una Raspberry Pi, que estará conectado al proyector de video. Este servidor se mantendrá a la espera de recibir una conexión entrante vía Bluetooth. Una vez se realice la conexión interpretará los comandos mandados por el cliente a través de una API con formato JSON y realizará las acciones indicadas para el control de la presentación. El cliente será una aplicación móvil para dispositivos Android. A través de ella el profesor accederá al servidor escaneando un código QR que será proyectado y una vez conectado enviará los comandos de control de la presentación, tales como abrir una presentación, avanzar y retroceder diapositiva, etc. La solución final deberá ser eficiente, sencilla de utilizar y con un bajo coste para resultar atractiva y ser así útil en el mundo real. Para ello se contará con valores añadidos como el poder iniciar la presentación desde el dispositivo móvil, el mostrar las notas de la diapositiva actual o contar con un temporizador para permitir un mejor control sobre el tiempo disponible para la presentación. ABSTRACT. This final project pursues the improvement of the current presentation control systems. The solution it provides is based on a server-client architecture. The server will be a mini PC, a Raspberry Pi model in this case, that will be connected to a video projector or a screen monitor. This server will remain idle waiting for an incoming Bluetooth connection. Once the connection is accepted the server will parse the commands sent by the client through a JSON API and will execute them accordingly to control the system. The client we decided to develop is an Android application. The speaker will be able to connect with the server by scanning a QR code that will be generated and displayed into the projector or screen monitor. Once the connection is accepted the client will sent the commands to control the slides, such as opening a presentation, move forward and backwards, etc. The adopted solution must be efficient, easy to use and with low cost to be appealing and useful to the real world. To accomplish the task this project will count with improvements over the current systems, such as the possibility to open a presentation from the smartphone, the visualization of the current slide notes from the mobile phone and a countdown timer to have a better control over the available time for the presentation.

Interface em smartphone para supervisão de um sistema de controlo de uma instalação solar térmica

Dissertação de Mestrado, Engenharia Elétrica e Eletrónica, Especialização em Sistemas de Energia e Controlo, Instituto Superior de Engenharia, Universidade do Algarve, 2014

Measurement of the magnetic field of small magnets with a smartphone: a very economical laboratory practice for introductory physics courses

In this work, we propose an inexpensive laboratory practice for an introductory physics course laboratory for any grade of science and engineering study. This practice was very well received by our students, where a smartphone (iOS, Android, or Windows) is used together with mini magnets (similar to those used on refrigerator doors), a 20 cm long school rule, a paper, and a free application (app) that needs to be downloaded and installed that measures magnetic fields using the smartphone's magnetic field sensor or magnetometer. The apps we have used are: Magnetometer (iOS), Magnetometer Metal Detector, and Physics Toolbox Magnetometer (Android). Nothing else is needed. Cost of this practice: free. The main purpose of the practice is that students determine the dependence of the component x of the magnetic field produced by different magnets (including ring magnets and sphere magnets). We obtained that the dependency of the magnetic field with the distance is of the form x-3, in total agreement with the theoretical analysis. The secondary objective is to apply the technique of least squares fit to obtain this exponent and the magnetic moment of the magnets, with the corresponding absolute error.

Analysis on smartphone devices for detection and prevention of malware.

The specific goals in this thesis are to investigate weaknesses on the smartphone devices, which leave it vulnerable to attacks by malicious applications, and to develop proficient detection mechanisms and methods for detecting and preventing smartphone malware, specifically in the Android devices. In addition, to Investigate weaknesses of existing countermeasures.

Survey in smartphone malware analysis techniques

Smartphone Malware continues to be a serious threat in today's world. Recent research studies investigate the impacts of new malware variant. Historically traditional anti-malware analyses rely on the signatures of predefined malware samples. However, this technique is not resistant against the obfuscation techniques (e.g. polymorphic and metamorphic). While the permission system proposed by Google, requires smartphone users to pay attention to the permission description during the installation time. Nevertheless, normal users cannot comprehend the semantics of Android permissions. This chapter surveys various approaches used in Smartphone malware detection and Investigates weaknesses of existing countermeasures such as signature-based and anomaly-based detection.

Smartphone applications, malware and data theft

The growing popularity of smartphone devices has led to development of increasing numbers of applications which have subsequently become targets for malicious authors. Analysing applications in order to identify malicious ones is a current major concern in information security; an additional problem connected with smart-phone applications is that their many advertising libraries can lead to loss of personal information. In this paper, we relate the current methods of detecting malware on smartphone devices and discuss the problems caused by malware as well as advertising.

Conclusion explicitness in advertising: The moderating role of need for cognition (NFC) and argument quality (AQ) on persuasion

Previous research into the use of explicit and implicit conclusions in advertising has yet to demonstrate consistent effects for both brand attitudes and purchase intentions. While research has examined the role of involvement, this study contributes by examining the trait called need for cognition (NFC), which addresses a person’s propensity to engage in effortful thinking. In addition, this study introduces argument quality (AQ) as another potential moderator of conclusion explicitness effects. In a 2 × 2 experiment of 261 subjects, conclusion explicitness (explicit conclusion, implicit conclusion) and AQ (strong, weak) are manipulated, with NFC (high NFC, low NFC) as a third measured variable. Results indicate more favorable evaluations for implicit conclusions over explicit conclusions for high-NFC individuals. Further, implicit conclusions result in more favorable brand attitudes and purchase intentions when linked with strong AQ for high-NFC individuals. The findings confirm that conclusion explicitness does not differentially affect the evaluations of low-NFC subjects. Results suggest that NFC may represent an important moderating variable for future conclusion explicitness research.

Development and feasibility of a smartphone, ECG and GPS based system for remotely monitoring exercise in cardiac rehabilitation

Background Despite its efficacy and cost-effectiveness, exercise-based cardiac rehabilitation is undertaken by less than one-third of clinically eligible cardiac patients in every country for which data is available. Reasons for non-participation include the unavailability of hospital-based rehabilitation programs, or excessive travel time and distance. For this reason, there have been calls for the development of more flexible alternatives. Methodology and Principal Findings We developed a system to enable walking-based cardiac rehabilitation in which the patient's single-lead ECG, heart rate, GPS-based speed and location are transmitted by a programmed smartphone to a secure server for real-time monitoring by a qualified exercise scientist. The feasibility of this approach was evaluated in 134 remotely-monitored exercise assessment and exercise sessions in cardiac patients unable to undertake hospital-based rehabilitation. Completion rates, rates of technical problems, detection of ECG changes, pre- and post-intervention six minute walk test (6 MWT), cardiac depression and Quality of Life (QOL) were key measures. The system was rated as easy and quick to use. It allowed participants to complete six weeks of exercise-based rehabilitation near their homes, worksites, or when travelling. The majority of sessions were completed without any technical problems, although periodic signal loss in areas of poor coverage was an occasional limitation. Several exercise and post-exercise ECG changes were detected. Participants showed improvements comparable to those reported for hospital-based programs, walking significantly further on the post-intervention 6 MWT, 637 m (95% CI: 565–726), than on the pre-test, 524 m (95% CI: 420–655), and reporting significantly reduced levels of cardiac depression and significantly improved physical health-related QOL. Conclusions and Significance The system provided a feasible and very flexible alternative form of supervised cardiac rehabilitation for those unable to access hospital-based programs, with the potential to address a well-recognised deficiency in health care provision in many countries. Future research should assess its longer-term efficacy, cost-effectiveness and safety in larger samples representing the spectrum of cardiac morbidity and severity.

Using static analysis for automatic assessment and mitigation of unwanted and malicious activities within Android applications

In the last decade, smartphones have gained widespread usage. Since the advent of online application stores, hundreds of thousands of applications have become instantly available to millions of smart-phone users. Within the Android ecosystem, application security is governed by digital signatures and a list of coarse-grained permissions. However, this mechanism is not fine-grained enough to provide the user with a sufficient means of control of the applications' activities. Abuse of highly sensible private information such as phone numbers without users' notice is the result. We show that there is a high frequency of privacy leaks even among widely popular applications. Together with the fact that the majority of the users are not proficient in computer security, this presents a challenge to the engineers developing security solutions for the platform. Our contribution is twofold: first, we propose a service which is able to assess Android Market applications via static analysis and provide detailed, but readable reports to the user. Second, we describe a means to mitigate security and privacy threats by automated reverse-engineering and refactoring binary application packages according to the users' security preferences.