Abstract
This paper presents a system which extends the use of the traditional white cane by the blind for navigation purposes in indoor environments. Depth data of the scene in front of the user is acquired using the Microsoft Kinect sensor which is then mapped into a pattern representation. Using neural networks, the proposed system uses this information to extract relevant features from the scene, enabling the detection of possible obstacles along the way. The results show that the neural network is able to correctly classify the type of pattern presented as input.

Abstract
This article presents an educational tool to be used in signal processing interpolation-related subjects. The aim is to contribute to the better consolidation of acquired theoretical knowledge, allowing students to test signal reconstruction algorithms and visualize the results obtained by the usage of such algorithms, and how several parameters affect their convergence and performance. (c) 2009 Wiley Periodicals, Inc. Comput Appl Eng Educ 20: 356363, 2012

Abstract
Empirical mode decomposition (EMD) is a fully unsupervised and data-driven approach to the class of nonlinear and non-stationary signals. A new approach is proposed, namely PHEEMD, to image analysis by using Peano-Hilbert space filling curves to transform 2D data (image) into 1D data, followed by ensemble EMD (EEMD) analysis, i.e., a more robust realization of EMD based on white noise excitation. Tests' results have shown that PHEEMD exhibits a substantially reduced computational cost compared to other 2D-EMD approaches, preserving, simultaneously, the information lying at the EMD domain; hence, new perspectives for its use in low computational power devices, like portable applications, are feasible.

Abstract
The emergence of new business models, namely, the establishment of partnerships between organizations, the chance that companies have of adding existing data on the web, especially in the semantic web, to their information, led to the emphasis on some problems existing in databases, particularly related to data quality. Poor data can result in loss of competitiveness of the organizations holding these data, and may even lead to their disappearance, since many of their decision-making processes are based on these data. For this reason, data cleaning is essential. Current approaches to solve these problems are closely linked to database schemas and specific domains. In order that data cleaning can be used in different repositories, it is necessary for computer systems to understand these data, i.e., an associated semantic is needed. The solution presented in this paper includes the use of ontologies: (i) for the specification of data cleaning operations and, (ii) as a way of solving the semantic heterogeneity problems of data stored in different sources. With data cleaning operations defined at a conceptual level and existing mappings between domain ontologies and an ontology that results from a database, they may be instantiated and proposed to the expert / specialist to be executed over that database, thus enabling their interoperability. © 2012 IEEE.

Abstract
Benefits provided by music in humans have been reinforced through several studies, mainly by active participation in musical therapy sessons, with surprising results in physical and psychological rehabilitation. However, all the previous implemented approaches require specialized hardware to function and complex configurations to set-up. We define a computational system focused on the elderly to allow musical expressiveness through motion, solely using the resources available in an ordinary home computer. To evaluate our approach, we developed a prototype and piloted acceptance tests on several senior citizens, with an average age of eighty-three. Our experiments showed high levels of interest from the senior citizens, denoting positive capabilities of well-being and life quality enrichment. The performed experiments have also shown that an ordinary computer is capable of performing the proposed methodology, without any restriction. (C) 2012 The Authors. Published by Elsevier B.V. Selection and/or peer-review under responsibility of the Scientific Programme Committee of the 4th International Conference on Software Development for Enhancing Accessibility and Fighting Info-exclusion (DSAI 2012)

Abstract
In everyday life, people need to move, whether in business or leisure. Navigation requires spatial knowledge and ability to make decisions based on geographic information. Recently, powerful tools have been developed, enhancing the capabilities of geographical analysis and decision-making. This work presents a platform to handle and provide geographic information, including accessibility oriented features. This geographic information system (GIS) is part of a wider project, called SmartVision. The aim of this project is to create a system that allows blind users to navigate in the University of Tras-os-Montes and Alto Douro campus. The GIS platform, together with other modules of the SmartVision system prototype, provides information to blind users, assisting their navigation and giving alerts of nearby points-of-interest or obstacles. Together with the GIS platform, this paper also describes the handling of accessibility information by the SmartVision prototype, namely the Navigation Module, the Computer Vision Module and the Interface Module.