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Sanmartin G.,Institute Investigacions Tecnoloxicas | Flores J.,Institute Investigacions Tecnoloxicas | Arias P.,University of La Coruna | Cudeiro J.,Institute Investigacions Tecnoloxicas | Mendez R.,Institute Investigacions Tecnoloxicas
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2012

Virtual Reality (VR) is the computer recreation of simulated environments that create on the user a sense of physical presence on them. VR provides the advantages of being highly flexible and controllable, allowing experts to generate the optimal conditions for any given test and isolating any desired variables in the course of an experiment. An important characteristic of VR is that it allows interaction within the virtual world. Motion capture is one of the most popular technologies, because it contributes to creating in the subject the required sense of presence. There are several methods to incorporate these techniques into VR system, with the challenge of them not being too invasive. We propose a method using PrimeSense sensors and several well-known computer vision techniques to build a low-cost mocap system that has proven to be valid for clinical needs, in its application as a support therapy for Parkinson's disease (PD) patients. © 2012 Springer-Verlag. Source


Serantes D.,Institute Investigacions Tecnoloxicas | Serantes D.,University of Santiago de Compostela | Baldomir D.,Institute Investigacions Tecnoloxicas | Baldomir D.,University of Santiago de Compostela | And 8 more authors.
Journal of Nanoscience and Nanotechnology | Year: 2010

Magnetic nanoparticles with controlled magnetocaloric properties are a good candidate to lower the temperature of nanosized systems: they are easy to manipulate and to distribute into different geometries, as wires or planes. Using a Monte Carlo technique we study the entropy change and refrigerant capacity of an assembly of fine magnetic particles as a function of their anisotropy and magnetization, key-parameters of the magnetic behavior of the system. We focus our attention on the anisotropy energy/dipolar energy ratio by means of the related parameter C 0 = 2K/M S 2, where K is the anisotropy constant and M S is the saturation magnetization of the nanoparticles. Making to vary the value of C o parameter by choosing different K-M S combinations, allows us to discuss how the magnetocaloric response of an assembly of magnetic nanoparticles may be tuned by an appropriate choice of the magnetic material composition. Copyright © 2010 American Scientific Publishers All rights reserved. Source

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