Sensor-driven agenda for intelligent home care of the elderly

The exponential increase of home-bound persons who live alone and are in need of continuous monitoring requires new solutions to current problems. Most of these cases present illnesses such as motor or psychological disabilities that deprive of a normal living. Common events such as forgetfulness or falls are quite common and have to be prevented or dealt with. This paper introduces a platform to guide and assist these persons (mostly elderly people) by providing multisensory monitoring and intelligent assistance. The platform operates at three levels. The lower level, denominated ‘‘Data acquisition and processing’’performs the usual tasks of a monitoring system, collecting and processing data from the sensors for the purpose of detecting and tracking humans. The aim is to identify their activities in an intermediate level called ‘‘activity detection’’. The upper level, ‘‘Scheduling and decision-making’’, consists of a scheduler which provides warnings, schedules events in an intelligent manner and serves as an interface to the rest of the platform. The idea is to use mobile and static sensors performing constant monitoring of the user and his/her environment, providing a safe environment and an immediate response to severe problems. A case study on elderly fall detection in a nursery home bedroom demonstrates the usefulness of the proposal.

Automated traffic route identification through the shared nearest neighbour algorithm

Many organisations need to extract useful information from huge amounts of movement data. One example is found in maritime transportation, where the automated identification of a diverse range of traffic routes is a key management issue for improving the maintenance of ports and ocean routes, and accelerating ship traffic. This paper addresses, in a first stage, the research challenge of developing an approach for the automated identification of traffic routes based on clustering motion vectors rather than reconstructed trajectories. The immediate benefit of the proposed approach is to avoid the reconstruction of trajectories in terms of their geometric shape of the path, their position in space, their life span, and changes of speed, direction and other attributes over time. For clustering the moving objects, an adapted version of the Shared Nearest Neighbour algorithm is used. The motion vectors, with a position and a direction, are analysed in order to identify clusters of vectors that are moving towards the same direction. These clusters represent traffic routes and the preliminary results have shown to be promising for the automated identification of traffic routes with different shapes and densities, as well as for handling noise data.

Portugal citius, altius, fortius? O incumprimento da Lei-Quadro da política criminal…

Colapso do sistema informático da Justiça, Citius?! É que, a ser verdade, então seria o kaos da justiça e teria que haver consequências imediatas na tutela, pois poderia estar em causa a aplicação prática dos Direitos Fundamentais dos cidadãos e das organizações legais, tendo que ser declarado, ouvido o Conselho de Estado, o “estado de emergência”, de acordo com o art. 19º da Constituição. § Mas mais incrível ainda é o facto de estar por cumprir desde 2011 (dois mil e onze!), a Lei-Quadro de Política Criminal! Abstract: Collapse of the computer system of justice, Citius ?! Is that to be true, then it would be the kaos justice and would have to be immediate consequences in the protection, it could be because the practical application of fundamental rights of citizens and legal organizations, having to be declared, after hearing the Council of State the "state of emergency", according to art. 19 of the Constitution. § But more amazing is the fact of being unfulfilled since 2011 (two thousand and eleven!), The Framework Law for Criminal Policy!