Abstract
Gastroenterology imaging is a diagnostic procedure that incorporates various computer vision challenges for the design of assisted diagnostic systems. The most typical challenge is the design of more adequate visual descriptors that can assist the classification algorithms in getting good diagnostic results. Literature shows that most of the texture descriptors for feature extraction from gastric lesions are based on Gabor filters or local binary patterns (LBP). Although good results are obtained, these techniques have their shortcomings. In this paper, we aim to explore the use of fusion of Gabor filters and LBPs for characterizing gastric lesions. The images are first subjected to Gabor filtering using isotropic Gabor filters, followed by extracting LBPs from the filtered images. We validate the performance of the descriptor on a novel gastroenterology dataset: the Post-MAPS dataset. Our results show that the proposed feature set outperforms the other methods that have been considered in this paper.

Abstract
Stroke episodes are a major health issue worldwide for which most patients require an initial period of special rehabilitation and functional treatment, involving medical doctors and specialized therapists, followed by ambulatory physiotherapy exercise. In this second period most do not fulfil the prescribed recovery plan, resulting in setbacks in their recovery. This paper reports on the design of a methodology to develop a system to support the ambulatory rehabilitation therapy, providing constant feedback to the clinicians, by means of an information system platform, and maintaining the patient motivation by using an exergames approach to design and deliver the therapy exercises to the patient.

Abstract
The European Project Semester (EPS) is a one-semester capstone project/internship programme offered to engineering, product design and business undergraduates by 18 European engineering schools. EPS aims to prepare future engineers to think and act globally, by adopting project-based learning and teamwork methodologies, fostering the development of complementary skills and addressing sustainability and multiculturalism. Since 2011, the EPS@ISEP programme offers a set of multidisciplinary projects to multicultural teams of students, so that each team element can bring to the project its previous knowledge and background experience. In the spring of 2013, a team choose to develop a pet tracker to provide pet owners with information regarding the whereabouts of their pets and, above all, to reduce the number of pets lost. After analysing related products, the team decided to add extra features for product differentiation. Combining a triple-axis accelerometer, a low cost GPS receiver and the GSM/GPRS communication technology, the team designed a system providing pet location, tracking, map display and activity monitoring services. This paper describes the development process of the Pet Tracker system, comprising a wearable device for pets and a website for pet owners.

Abstract
Interactive art implies an active dialogue between the participant and the surrounding space, mediated by a computational system. Reciprocity and recursiveness are key principles to the bidirectional flux of information in this setting, guaranteeing a continuous interaction loop between the participant and the digital system. Viewing the human body as a natural interface, we focus on non-invasive tracking methods for embodiment sensing, such as infra-red depth cameras. Current limitations in participant engagement of interactive artworks in public spaces are introduced and analyzed from the perspective of group dynamics. In this paper we approach Bourriaud's concept of relational aesthetics, relate it to the inherent social context of interactive artwork exhibition, and propose a framework for the development of relational interactive artworks. Interactive art implies an active dialogue between the participant and the surrounding space, mediated by a computational system. Reciprocity and recursiveness are key principles to the bidirectional flux of information in this setting, guaranteeing a continuous interaction loop between the participant and the digital system. Viewing the human body as a natural interface, we focus on non-invasive tracking methods for embodiment sensing, such as infra-red depth cameras. Current limitations in participant engagement of interactive artworks in public spaces are introduced and analyzed from the perspective of group dynamics. In this paper we approach Bourriaud's concept of relational aesthetics and relate it to the inherent social context of interactive artwork exhibition, and propose a framework for the development of relational interactive artworks.

Abstract
Wave front sensing for solar telescopes is commonly implemented with the Shack-Hartmann sensors. Correlation algorithms are usually used to estimate the extended scene Shack-Hartmann sub-aperture image shifts or slopes. The image shift is computed by correlating a reference sub-aperture image with the target distorted sub aperture image. The pixel position where the maximum correlation is located gives the image shift in integer pixel coordinates. Sub-pixel precision image shifts are computed by applying a peak-finding algorithm to the correlation peak Poyneer (2003); Ladahl (2010). However, the peak-finding algorithm results are usually biased towards the integer pixels, these errors are called as systematic bias errors Sjodahl (1994). These errors are caused due to the low pixel sampling of the images. The amplitude of these errors depends on the type of correlation algorithm and the type of peak-finding algorithm being used. To study the systematic errors in detail, solar sub-aperture synthetic images are constructed by using a Swedish Solar Telescope solar granulation image 1. The performance of cross-correlation algorithm in combination with different peak-finding algorithms is investigated. The studied peak-finding algorithms are: parabola Poyneer (2003); quadratic polynomial Difdahl (2010); threshold center of gravity Bailey (2003); Gaussian Nobach & Honkanen (2005) and Pyramid Bailey (2003). The systematic error study reveals that that the pyramid fit is the most robust to pixel locking effects. The RMS error analysis study reveals that the threshold centre of gravity behaves better in low SNR, although the systematic errors in the measurement are large. It is found that no algorithm is best for both the systematic and the RMS error reduction. To overcome the above problem, a new solution is proposed. In this solution, the image sampling is increased prior to the actual correlation matching. The method is realized in two steps to improve its computational efficiency. In the first step, the cross correlation is implemented at the original image spatial resolution grid (1 pixel). In the second step, the cross-correlation is performed using a sub-pixel level grid by limiting the field of search to 4 x 4 pixels centered at the first step delivered initial position. The generation of these sub-pixel grid based region of interest images is achieved with the bi-cubic interpolation. The correlation matching with sub-pixel grid technique was previously reported in electronic speckle photography Sjodahl (1994). This technique is applied here for the solar wavefront sensing. A large dynamic range and a better accuracy in the measurements are achieved with the combination of the original pixel grid based correlation matching in a large field of view and a sub-pixel interpolated image grid based correlation matching within a small field of view. The results revealed that the proposed method outperforms all the different peak finding algorithms studied in the first approach. It reduces both the systematic error and the RMS error by a factor of 5 (i.e., 75% systematic error reduction), when 5 times improved image sampling was used. This measurement is achieved at the expense of twice the computational cost. With the 5 times improved image sampling, the wave front accuracy is increased by a factor of 5. The proposed solution is strongly recommended for wave front sensing in the solar telescopes, particularly, for measuring large dynamic image shifts involved open loop adaptive optics. Also, by choosing an appropriate increment of image sampling in trade-off between the computational speed limitation and the aimed sub-pixel image shift accuracy, it can be employed in closed loop adaptive optics. The study is extended to three other class of sub-aperture images (a point source; a laser guide star; a Galactic Center extended scene). The results are planned to submit for the Optical Express journal.

Abstract
The olive oil polyphenols 3,4-DHPEA-EA and 3,4-DHPEA-EDA displayed an endothelium dependent vasorelaxant effect in rat aorta, starting at similar to 1 mu M and abolished by N-G-nitro-L-arginine (L-NA) or N-acetylcysteine, and an endothelium-independent vasorelaxant effect, starting at similar to 10 mu M. Hydroxytyrosol only presented an endothelium-independent effect at 100 mu M. DHPEA-EA and 3,4-DHPEA-EDA, but not hydroxytyrosol, also increased NO generation within endothelial cells. At higher concentrations, the three compounds reduced argininevasopressin-induced increase of cytosolic Ca2+ concentration ([Ca2+](c)) in vascular myocytes. By UV-visible spectroscopy, we found that these polyphenols undergo autoxidative processes in organ-bath conditions. Thus, 3,4-DHPEA-EA and 3,4-DHPEA-EDA have an endothelium-dependent vasorelaxant effect caused by an enhanced NO production, probably through a redox mechanism within endothelial cells and an endothelium-independent vasorelaxant effect mediated by a reduction of agonist-induced [Ca2+](c) increase in vascular myocytes. Bearing in mind the plasmatic concentrations of these polyphenols following dietary intake of olive oil, these effects could modulate vascular tone in vivo.