Active Assistance for Senior Healthcare: A Wearable System for Fall Detection

Elders lose independence and wellbeing, accompanied by decreased functions in terms of hearing, vision, strength and coordination abilities. These factors contribute to balance difficulties that eventually lead to falls. The injuries due to falls, at this age, are risky, since most of the times may cause a significant – and permanent – decrease of quality of life or, in extreme cases, death. In this context, a fall detection system can bring an added value to assist elderly people.This paper describes a system consisting of a wearable sensor unit, a smartphone and a website. When the sensor detects a fall it sends an alert using the smartphone via Bluetooth 4.0, to notify the family members or stakeholders. The sensor device includes an inertial unit, a barometer, and a temperature and humidity sensor. The website displays the log of previous falls and enables the configuration of emergency contact numbers. The proposed fall detection system is one of multiple components within a larger project under development that offers a holistic perspective on falls; the complete wearable solution will also feature, among others, physical protection (minimizing the impact of falls that occur).

Radial Distortion Self-Calibration

In cameras with radial distortion, straight lines in space are in general mapped to curves in the image. Although epipolar geometry also gets distorted, there is a set of special epipolar lines that remain straight, namely those that go through the distortion center. By finding these straight epipolar lines in camera pairs we can obtain constraints on the distortion center(s) without any calibration object or plumbline assumptions in the scene. Although this holds for all radial distortion models we conceptually prove this idea using the division distortion model and the radial fundamental matrix which allow for a very simple closed form solution of the distortion center from two views (same distortion) or three views (different distortions). The non-iterative nature of our approach makes it immune to local minima and allows finding the distortion center also for cropped images or those where no good prior exists. Besides this, we give comprehensive relations between different undistortion models and discuss advantages and drawbacks.

Factores determinantes do nível de divulgação sobre instrumentos derivados de acordo com as recomendações do Basel Committee on Banking Supervision e da Organisation of Securities Commissions - evidência empírica no sector bancário português

Este estudo analisa o nível de divulgação sobre instrumentos derivados e seus factores determinantes nas entidades bancárias portuguesas. Para o efeito, foi utilizado um índice de divulgação, baseado nas recomendações emitidas pelo Basel Committee on Banking Supervision e pela Organisation of Securities Commissions, e analisados os Relatórios & Contas anuais, individuais, relativos a 2009. Conclui-se que o número de empresas que apresenta informação sobre a utilização de instrumentos derivados é bastante elevado, mas o valor médio de divulgação apresentado é bastante reduzido. Identificam-se, como factores determinantes do nível de divulgação, o tamanho da empresa, a qualidade do auditor externo e o facto de a empresa ter procedido a um aumento de capital durante o exercício económico em análise.

Grau de cumprimento com as recomendações do Basel Committee on Banking Supervision e da Organisation of Securities Commissions, sobre divulgação de informação relacionada com instrumentos derivados - evidência empírica no sector bancário português

This study analyzes the level of disclosure on derivatives, in accordance with the recommendations issued by the Basel Committee on Banking Supervision and the Organization of Securities Commission, by Portuguese banks. We have analyzed individual annual reports related to 2009, using a disclosure index based on those recommendations. We concluded that the number of companies that provides information about derivative instruments is quite high, but the average value of disclosure is very low. The information disclosed more frequently is that related to general aspects, followed by information related to accounting and valuation methods.

Estudo do grau de cumprimento com as recomendações do Basel Committee on Banking Supervision e da Organisation of Securities Commissions, sobre divulgação de informação relacionada com instrumentos derivados, pelas entidades portuguesas pertencentes ao sector bancário

Este estudo analisa o nível de divulgação sobre instrumentos derivados, de acordo com as recomendações emitidas pelo Basel Committee on Banking Supervision e pela Organisation of Securities Commissions, pelas entidades bancárias portuguesas. Para o efeito, foi utilizado um índice de divulgação e analisados os Relatórios & Contas anuais, individuais, relativos a 2009. Conclui-se que o número de empresas que apresenta informação sobre a utilização de instrumentos derivados é bastante elevado, mas o valor médio de divulgação apresentado é bastante reduzido. A informação mais divulgada é a relativa a informações gerais, seguida da informação relacionada com contabilidade e métodos de avaliação.

Real-time 3D interactive segmentation of echocardiographic data through user-based deformation of B-spline explicit active surfaces

Image segmentation is an ubiquitous task in medical image analysis, which is required to estimate morphological or functional properties of given anatomical targets. While automatic processing is highly desirable, image segmentation remains to date a supervised process in daily clinical practice. Indeed, challenging data often requires user interaction to capture the required level of anatomical detail. To optimize the analysis of 3D images, the user should be able to efficiently interact with the result of any segmentation algorithm to correct any possible disagreement. Building on a previously developed real-time 3D segmentation algorithm, we propose in the present work an extension towards an interactive application where user information can be used online to steer the segmentation result. This enables a synergistic collaboration between the operator and the underlying segmentation algorithm, thus contributing to higher segmentation accuracy, while keeping total analysis time competitive. To this end, we formalize the user interaction paradigm using a geometrical approach, where the user input is mapped to a non-cartesian space while this information is used to drive the boundary towards the position provided by the user. Additionally, we propose a shape regularization term which improves the interaction with the segmented surface, thereby making the interactive segmentation process less cumbersome. The resulting algorithm offers competitive performance both in terms of segmentation accuracy, as well as in terms of total analysis time. This contributes to a more efficient use of the existing segmentation tools in daily clinical practice. Furthermore, it compares favorably to state-of-the-art interactive segmentation software based on a 3D livewire-based algorithm.