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+ Equilíbrio 65: risco de queda em idosos na comunidade da região do Algarve

Tomé, Ana Maria; Rosa, Marlene Neves; Pais, Sandra Gamboa; Tomás, Maria Teresa; Fontes, Ana de Almeida

Introdução - As quedas constituem uma das principais causas de morbilidade na população sénior. A identificação e caracterização dos fatores causais é basilar na intervenção. Objetivo - Caracterizar a população de indivíduos com 65 anos ou mais de idade, da comunidade, inscritos em universidades sénior, do ponto de vista sociodemográfico e dos fatores de risco e risco de queda. Metodologia – Estudo transversal ...


Towards lifelong assistive robotics: a tight coupling between object perception...

Hamidreza Kasaei, S.; Oliveira, Miguel; Lim, Gi Hyun; Seabra Lopes, Luís; Tomé, Ana Maria

This paper presents an artificial cognitive system tightly integrating object perception and manipulation for assistive robotics. This is necessary for assistive robots, not only to perform manipulation tasks in a reasonable amount of time and in an appropriate manner, but also to robustly adapt to new environments by handling new objects. In particular, this system includes perception capabilities that allow r...


Weighted sliding empirical mode decomposition for online analysis of biomedical...

Zeiler, A.; Faltermeier, R.; Tomé, Ana Maria; Puntonet, C.; Brawanski, A.; Lang, Elmar W.

Biomedical signals are in general non-linear and non-stationary. empirical mode decomposition in conjunction with a Hilbert-Huang Transform provides a fully adaptive and data-driven technique to extract intrinsic mode functions. The latter represent a complete set of locally orthogonal basis functions to represent non-linear and non-stationary time series. Large scale biomedical time series necessitate an onlin...


Visual detection of vehicles using a bag-of-features approach

Pinto, Pedro; Tomé, Ana Maria; Santos, Vitor

This paper presents and evaluates the performance of a method for vehicle detection using a bag-of-features methodology. The algorithm combines Speeded Up Robust Features with a Support Vector Machine. An optimization to the bag-of-features dictionary based on a genetic algorithm for attribute selection is also described. The results obtained show that this method can successfully address the problem of vehicle...


Individual EEG differences in affective valence processing in women with low an...

Hidalgo-Muñoz, A. R.; Pereira, A. T.; López Pérez, Miriam; Galvao-Carmona, A.; Tomé, Ana Maria; Vázquez-Marrufo, M.; Santos, I. M.

Objective: In this study, individual differences in brain electrophysiology during positive and negative affective valence processing in women with different neuroticism scores are quantified. Methods: Twenty-six women scoring high and low on neuroticism participated on this experiment. A support vector machine (SVM)-based classifier was applied on the EEG single trials elicited by high arousal pictures with ne...


Separação cega de fontes: aplicando um algoritmo para decomposição em vectores ...

Ferreira, Nuno; Tomé, Ana Maria

This work presents an iterative algorithm for blind source separation. The algorithm is based on the generalized eigendecomposition of a matrix pencil. A Matlab package of software was developed to evaluate the algorithm performance. Some experimental results, using artificially mixed audio signals and a matrix pencil computed at the input and at the output of a linear finite impulse response, are also presente...


Audio compression: discussion of an alternative approach

Rodrigues, João Manuel; Tomé, Ana Maria

In this paper we present and dicuss a new algorithm for the compression of audio signals in which we are currently working. Backward-adaptive quantization, a fundamental innovation that differentiates this from other perceptual audio coders, is justified for its multiple advantages. We conclude with a discussion of some issues related to the design of the various components of the coder we are developing.; Nest...


Pitch detection in vocal music monophonic signals

Pinto, António Sá; Tomé, Ana Maria

This work is concerned with pitch* determination in vocal music monophonic signals. The proposed Pitch Detection Algorithm (PDA) is based on the autocorrelation function, one of the most explored fundamental frequency detection methods. However, a new approach to the estimation process is developed. This new strategy consists in the introduction of a new logic processing interaction unit that enhances the co-op...


Auditory models in audio coding

Rodrigues, João Manuel; Tomé, Ana Maria; Silva, Tomás Oliveira e

Two strategies have been used to evaluate the perceptual significance of a distortion introduced into a signal: the masking threshold concept, and the internal representation approach. Psychoacoustic models found in the perceptual audio coding literature generally follow the first approach in spite of the recognized unsuitability of the approach for the task. The more plausible internal representation approach ...


DSP implementation of an audio perceptual decoder

Ferreira, Vitor Manuel; Tomé, Ana Maria

In this work the audio spectral coder methodology was studied in order to achieve a real-time implementation of the decoder. This work followed two main steps: the study of an integrated solution for Pc developed in C++, and the development of the decoder in C. (...); Neste trabalho faz-se o estudo de uma solução completa de codificação de áudio de alta qualidade designada por ASC ("Audio Spectral Coder"), impl...


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